632 Jobs für Data Engineering in Deutschland
Lead Data Engineering
Heute
Job angesehen
Arbeitsbeschreibung
At
Statista
, we're all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions.
Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees.
We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters – keep writing it as part of our team.
Are you ready to join us?
Tasks
- Contribute to Statista's Data Production mission by building an automated, at-scale production machine for high-value data that empowers corporates and AI-builders worldwide.
- Lead your team both disciplinarily and professionally, setting objectives, managing delivery, and actively contributing to high-priority projects.
- Oversee the extraction of data from multiple sources at scale, leveraging automation and AI tools where applicable, and ensure data is structured, processed, and ready for further use or publication.
- Build and maintain scalable data pipelines and orchestration workflows to support both data production and content publishing processes.
- Monitor and optimize the performance, reliability, and security of data infrastructure, ensuring high availability across all systems.
- Collaborate with internal stakeholders to understand requirements, provide automated sourcing solutions, and facilitate large-scale data ingestion and publishing.
- Participate in strategic decisions for data production, value contribution, AI & automation initiatives
- Continuously analyze established processes and identify opportunities for automation and optimization across production and publishing workflows.
Requirements
- 5+ years of experience in Data Engineering, Data Operations, or a related field, with a strong track record of leading technical teams and delivering complex data solutions.
- Demonstrated experience in building and scaling data pipelines, ETL processes, and automated workflows in production environments.
- Strong Python skills for developing scalable automation, backend services, and data processing pipelines.
- Proficiency in workflow orchestration, containerization, and version control tools (e.g., Apache Airflow, Docker, git).
- Expert command of SQL for querying, manipulation, and optimization of large datasets.
- Deep understanding of data modeling and architecture, with a proven ability to implement best practices for robust, scalable, and maintainable systems.
- Hands-on experience with cloud infrastructure (AWS preferred: ECS, EC2, RDS, S3), including deployment, monitoring, and management; Infrastructure-as-Code is a plus.
- Track record of strategic thinking and execution, able to align data production and publishing initiatives with business goals.
What We Offer
In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work Join us and benefit from:
- Work from abroad 10 days a year (up to 30 if your family lives abroad)
- Hybrid work and flex-time
- International team and social events
- Free access to Perplexity Enterprise Pro and all its amazing functionalities
- Career & training opportunities
- Attractive locations and modern offices
- Mental health support with OpenUp
Some of the benefits listed here apply only to the German entity and to Junior-level roles or above.
Consultant Data Engineering
Heute
Job angesehen
Arbeitsbeschreibung
Auf Basis unserer Customer Experience Plattform entwirfst und realisiert Du die technische Grundlage für die Durchführung personalisierter Marketingkampagnen. Dabei begleitest Du Deine Projekte vom Kick-Off bis zum erfolgreichen Go-Live und bist Ansprechpartner:in für Marketing- und IT-Abteilungen unserer Kunden. Mit modernen Cloud-Technologien entwickelst Du – KI-gestützt – kundenindividuelle Lösungen.
Mit Deiner Projektexpertise bringst Du die innovative Weiterentwicklung unserer Plattform voran.
- Du entwickelst Datenmodelle unter Berücksichtigung der Logiken unserer CXP-Platform, der Datenlieferungen sowie der Anforderungen an die geplante Datenverwendung
- Du konzipierst und setzt ETL-Prozesse um, modellierst Batch- und Neartime-Strecken und beachtest dabei Vorgaben wie Ladehäufigkeit, Datenvolumen und Latenzzeiten
- Du triffst Technologieentscheidungen, indem Du geeignete Lösungen auswählst – etwa zwischen Batch- und Realtime-Verarbeitung oder der Nutzung von Databricks versus Data Factory
- In enger Zusammenarbeit mit angrenzenden Produktteams erarbeitest Du Lösungen im Zusammenspiel mit Marketing Automation- und Customer Analytics-Systemen und stellst die Verfügbarkeit und Qualität der Daten für verschiedene Produktanforderungen sicher
- Erste relevante Berufserfahrung
- Grundkenntnisse der Softwareentwicklung (idealerweise in C#, Python und Pyspark)
- SQL-Kenntnisse zur Datenanalyse und Qualitätssicherung
- Verständnis für Cloud-Architekturen und Datenverarbeitungsprozesse
- Interesse an konzeptionellen Themen rund um Datenmodellierung und ETL-Design
- Bereitschaft zur Weiterentwicklung in Technologien wie Databricks und Data Factory
Bei DYMATRIX entwickeln wir mit Leidenschaft innovative Softwarelösungen für datengetriebene, KI-gestützte Customer Experiences. Unsere SaaS-Plattform ermöglicht es Unternehmen, ihre Kontakte automatisiert und personalisiert über alle Kanäle hinweg anzusprechen. Doch wir liefern nicht nur die Technologie – unsere Expert:innen begleiten Kunden von Strategie und Implementierung bis hin zum laufenden Betrieb. Über 200 namhafte Unternehmen aus der DACH-Region, vom Mittelstand bis zum DAX-Konzern, aus Branchen wie Handel, Medien, Banken und Versicherungen vertrauen auf uns. Damit das gelingt, brauchen wir ein starkes Team – wir brauchen Dich
Trainee Data Engineering
Heute
Job angesehen
Arbeitsbeschreibung
Lust auf intelligentes Business? Dann haben wir etwas für Dich Starte bei uns am Standort Stuttgart als Trainee Data Engineering (all genders)
Wir suchen Dich als kreativen Kopf, der sich freut, mit uns im Team die richtigen Lösungen für unsere Kunden zu entwickeln. Bist Du es gewohnt, auch mal über den Tellerrand zu schauen? Dann bist Du bei uns richtig Lerne in einem 12-monatigen Traineeprogramm das spannende Leben als technischer Consultant kennen.
- 4 Monate Basistraining: Du durchläufst unsere Bereiche New Business, Customer Service und Costumer Solutions – und lernst so die fachliche Grundlage für unser Business kennen. Was bist Du eher: Ein analytischer Kopf oder ein kommunikativer Prozessoptimierer? Lerne Deine Interessen kennen und stärke so Dein Profil
- 8 Monate Intensivierungstraining: Nachdem wir gemeinsam Deinen Zielbereich identifiziert haben, lernst Du diesen intensiv kennen und wirst durch Training on the Job und Schulungen auf Deine anschließende Karriere als technischer Consultant für Data Engineering vorbereitet.
- abgeschlossenes Studium in Wirtschaftsinformatik, Informatik, Wirtschaftsingenieurwesen, Mathematik, o.Ä.
- erste theoretische Kenntnisse im Bereich Marketing und/oder Controlling
- Technikbegeisterung
- sehr gute Deutsch- und gute Englischkenntnisse
- Lust auf Beratung
Kurzum: Du bist ein datenverliebter Tekki und hast keine Angst vor SQL
Über unsBei DYMATRIX entwickeln wir mit Leidenschaft innovative Softwarelösungen für datengetriebene, KI-gestützte Customer Experiences. Unsere SaaS-Plattform ermöglicht es Unternehmen, ihre Kontakte automatisiert und personalisiert über alle Kanäle hinweg anzusprechen. Doch wir liefern nicht nur die Technologie – unsere Expert:innen begleiten Kunden von Strategie und Implementierung bis hin zum laufenden Betrieb. Über 200 namhafte Unternehmen aus der DACH-Region, vom Mittelstand bis zum DAX-Konzern, aus Branchen wie Handel, Medien, Banken und Versicherungen vertrauen auf uns. Damit das gelingt, brauchen wir ein starkes Team – wir brauchen Dich
HR Data Engineering
Vor 2 Tagen gepostet
Job angesehen
Arbeitsbeschreibung
- Als HR Data Engineer:in bist du Teil des Teams Digital Solutions im Bereich People & Organization und treibst die datenbasierte Entscheidungsfindung in personalwirtschaftlichen Fragestellungen voran.
- Die Verantwortung für die Entwicklung eines HR Data Governance-Frameworks für Workday und SAP HCM liegt in deinem Aufgabenbereich.
- Du entwickelst einen Datenkatalog und berätst zur optimalen Verwendung von HR Daten und zum Einsatz von KI.
- Mit der Identifizierung weiterer relevanter Datensätze und Integration von Datenquellen ermöglichst du umfassende Einblicke.
- Du identifizierst Trends im digitalen Umfeld und antizipierst diese bei der Erarbeitung von Datenstrategien
- Du unterstützt die Etablierung eines Data Mindsets und arbeitest eng mit anderen HR-Teams zusammen, um die end-to-end Datenerfassung kontinuierlich zu optimieren.
Anforderungen
- Du verfügst über ein abgeschlossenes wissenschaftliches Hochschulstudium (Master in Wirtschaftsinformatik, Informatik) oder eine vergleichbare Qualifikation mit. Dazu bist du erfahren im Projektmanagement.
- Im Idealfall hast du erste Vorerfahrungen zu People Analytics, Datenstrategie oder (generativer) künstlicher Intelligenz.
- Du verfügst über fundierte Kenntnisse der Datenschutzgrundverordnung (DSGVO).
- Sehr gute analytische und konzeptionelle Fähigkeiten bringst du mit und du hast Spaß daran, Problemlöser:in zu sein.
- Du überzeugst mit einer selbstständigen und proaktiven Arbeitsweise sowie einer Hands-on-Mentalität.
Das Sahnehäubchen - diese Vorteile bieten wir dir:
- Teamwork statt Hierarchiedenken Für uns zählt der Erfolg des Teams, deshalb unterstützen wir uns gegenseitig. Klassische Hierarchien gibt es bei uns nicht: Anstatt dir im Nacken zu sitzen, halten dir unsere Führungskräfte lieber den Rücken frei.
- Viel Freiraum für eigene Ideen Bei uns findest du jede Menge Freiraum für selbstständiges Arbeiten. Wir freuen uns auf deine Ideen - deinen Willen, Prozesse, Produkte und Lösungen aktiv mitzugestalten, schätzen wir sehr.
- Fort- & Weiterbildung: Potenzialentfaltung vom ersten Tag an Dass du deine Potenziale frei entfalten kannst, ist uns sehr wichtig - und das schon ab dem ersten Arbeitstag. Du profitierst nicht nur von einer umfassenden Einarbeitung, sondern auch von auf dich zugeschnittenen Weiterbildungsmaßnahmen.
- Gesundheit bei enercity Deine Gesundheit liegt uns besonders am Herzen, deshalb sind unsere Arbeitsplätze nach neusten ergonomischen Anforderungen gestaltet. Dazu ist der betriebsärztliche Dienst bei Fragen zu Gesundheitsthemen und Prävention immer für dich da.
- Alles für deine Work-Life-Balance Von flexiblen Arbeitszeiten über mobiles Arbeiten bis hin zur enercity Kinderkrippe und Unterstützung bei der Pflege von Angehörigen: Wir geben unser Bestes, damit du Privatleben und Beruf bestmöglich unter einen Hut bekommst.
- Attraktive Bezahlung Wir orientieren uns als Unternehmen häufig an der Start-Up Denke, aber nicht, wenn es um deine Vergütung geht. Neben einem attraktiven und sicheren Gehalt profitierst du beispielsweise von Sonderzahlungen oder betrieblicher Altersvorsorge.
- Onboarding: Für den bestmöglichen Start ins Arbeitsleben Am ersten Arbeitstag erwartet dich ein ausgestatteter Arbeitsplatz und ein Pate, der dich beim Ankommen unterstützt. Mit deinem Team erfährst du in der ersten Woche, was es mit unseren Networking-Meetings auf sich hat.
- enercity Gym und Betriebssport Im enerGym kannst du Bewegung und Entspannung in deinen Arbeitstag integrieren. Falls du weitere Sportarten für deinen Ausgleich im Alltag suchst, dann bist du bei unserer Betriebssportgemeinschaft genau richtig!
- Unser betriebsärztlicher Dienst ist immer für dich da Nimm an unserem Präventionsprogramm oder unseren Gesundheitstagen teil, lass dich vom Team des betriebsärztlichen Dienstes durchchecken oder kontaktiere unsere Expert:innen für sämtliche Gesundheitsthemen.
- Mobiles Arbeiten Wo es möglich ist, erleichtern wir dir durch mobiles Arbeiten die Vereinbarkeit von Beruf und Privatleben. Ob im Café oder zu Hause - du hast die Wahl!
- enercity Kinderkrippe Jährlich ermöglichen wir zwölf Kindern von Mitarbeitenden einen Betreuungsplatz bei uns. Mit der Initiative "Haus der kleinen Forscher" werden die Kleinen an Musik und die englische Sprache herangeführt.
- Beste Verkehrsanbindung Gerne bezuschussen wir dein Ticket für die Verkehrsbetriebe Hannover. Auch für dein E-Auto gibt es jede Menge Lademöglichkeiten auf unserem Parkplatz.
- Jobs, die wirklich was verändern Gemeinsam bewegen wir Hannover und leisten einen bedeutenden Beitrag für die Zukunft unserer Gesellschaft: Wir sorgen dafür, dass erneuerbare Energien unsere Welt lebenswerter machen.
HR Data Engineering
Heute
Job angesehen
Arbeitsbeschreibung
Head of PT Data Engineering
Vor 12 Tagen gepostet
Job angesehen
Arbeitsbeschreibung
**The Position**
The Pharma Technical Operations (PT) department is establishing the One PT Data Office to serve as the strategic center for data governance, strategy, and enablement across the entire global PT network. This team is at the heart of our digital transformation, responsible for architecting and leading a central data office to unlock the full potential of PT's data assets.
The Head of PT Data Engineering will be instrumental in building the robust data backbone that powers PT's digital transformation and data driven decision making. Reporting into the One PT Data Office, this critical role is accountable for leading a cutting-edge internal and external global data engineering team. You will define the strategy, evolve the data platforms and processes, and oversee the delivery of scalable, high-quality data products to enable advanced analytics, AI initiatives, and critical business processes across Pharma Technical Operations. You will lead a critical team of internal and external data engineers, fostering a culture of technical excellence, innovation, and continuous delivery. This pivotal role requires a visionary leader to build and manage the foundational data infrastructure, pipelines, and platforms that enable the seamless flow of high-quality, FAIR data from diverse sources to data consumers, ensuring compliance, scalability, and future readiness for PT's ambitious digital agenda.
**The Opportunity**
+ Provide strategic leadership and vision for PT's global data engineering capabilities, defining the roadmap for data ingestion, transformation, storage, and consumption architectures.
+ Accountable for the design, development, and evolution of scalable, robust, and cost-effective data platforms (e.g., data lakes, data warehouses, streaming platforms) that support PT's advanced analytics, AI/ML, and data product needs.
+ Define and implement best practices, standards, and guidelines for data modeling, ETL/ELT processes, data quality, and data pipeline orchestration across the PT landscape.
+ Actively monitor and integrate cutting-edge industry trends, emerging data engineering technologies, and cloud-native solutions to continually optimize PT's data infrastructure in close collaboration with IT.
+ Build, mentor, mobilize, and empower a high-performing, global team of internal and external data engineers, fostering a culture of technical excellence, innovation, and agile delivery.
+ Accountable for the end-to-end delivery and operational excellence of critical data pipelines, ensuring timely, accurate, and reliable data availability for PT's business processes and analytical use cases.
+ Ensure data infrastructure and pipelines adhere to strict quality, security, and compliance standards (e.g., GxP, data integrity, data privacy), collaborating closely with Data Governance and Cybersecurity teams.
+ Drive the automation and optimization of data engineering workflows to enhance efficiency, reduce manual effort, and improve data freshness.
**Who You Are**
+ 12+ years of progressive experience in data engineering, data platform architecture, or related roles within a complex, global enterprise, preferably in life sciences/pharma and 7+ years of senior leadership experience, specifically building, developing, and leading large, global teams of data engineers.
+ Proven track record of successfully designing, implementing, and scaling robust data pipelines and cloud-based data platforms (AWS, Azure, GCP data services) for advanced analytics and AI/ML.
+ Expert-level knowledge of modern data architectures, ETL/ELT, data orchestration, and data quality management.
+ Strong understanding of GxP, data integrity, and data privacy regulations in a manufacturing context.
+ Exceptional strategic thinking, communication, and influencing skills to lead and align diverse stakeholders globally.
+ Bachelor's degree in a relevant technical field required; Master's or advanced certifications are highly advantageous.
Ready for the next step? We look forward to hearing from you. Apply now to discover this exciting opportunity!
**Who we are**
A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let's build a healthier future, together.
**Roche is an Equal Opportunity Employer.**
Data Engineering Manager (Hands-On)
Vor 11 Tagen gepostet
Job angesehen
Arbeitsbeschreibung
What is Embat?
Embat is one of the fastest-growing startups in Europe, founded in 2021 to revolutionize how medium and large-sized enterprises manage their finances and cash flow in real time. Our mission is to create a SaaS product that uses advanced technology and delivers excellent customer experiences, allowing our clients to make faster, better-informed business decisions, all while improving efficiency by over 100x compared to Excel.
We are a diverse team of 100+ members, backed by leading international investors, aiming to go global and make Embat a fantastic place to work. In February 2024, we completed our third funding round of €15 million, led by the renowned international fund Creandum, alongside partners Samaipata, 4Founders Capital, and VentureFriends.
What are we looking for?
Embat is in a significant growth phase and needs an experienced and talented Data Engineering Manager for the Data Team.
This is not just a people management role: we are looking for a hands-on technical leader who thrives on solving complex challenges, driving strategy, and building a strong, scalable data culture across the organization.
As the Data Engineering Manager , you will combine people leadership, delivery ownership, and technical guidance. Your responsibilities will extend beyond managing tasks to cultivating a high-performing, healthy team that consistently delivers high-quality software while aligning with Embat's strategic goals.
What will you do?
- Team Leadership & People Development : Inspire, mentor, and coach individual data engineers and analysts. You will foster a supportive and high-performing environment through regular 1:1s, career development discussions, and constructive feedback.
- Hands-on Technical Leadership & Strategy : Actively contribute as an individual contributor while guiding the team’s data strategy. You will design, build and oversee reliable, performant, and secure data solutions while championing a data-driven culture.
- Delivery & Execution Excellence : Own the planning, execution, and successful delivery of initiatives. Anticipate challenges, remove blockers, and ensure efficient, timely, and high-quality releases.
- Cross-Functional Collaboration : Act as a critical bridge between the data team and other functions (Product, Design, Engineering). Translate complex technical concepts into clear communication for all stakeholders.
What are we looking for?
- 6+ years of professional experience in Data Engineering, with at least 2+ years in a leadership or management role.
- Strong hands-on technical skills in data engineering, analytics, and architecture (SQL, Python, ETL pipelines, data warehousing, cloud platforms).
- Experience designing and scaling data platforms with strong knowledge of data modeling, data quality, and governance .
- Track record of building, mentoring, and scaling high-performing teams.
- A builder’s mindset: you take ownership, create impact, and feel proud and accountable for the team’s success.
- Strong communicator with the ability to bridge technical and business discussions.
- Ambitious, curious, and passionate about creating impact through data.
- Languages: Working proficiency in English & fluent in Spanish.
- Location: preferably in Madrid or elsewhere in Spain.
Additionally, any of the below would definitely be great:
- Experience with modern data stacks : dbt, Airflow, Snowflake/BigQuery/Redshift, Kafka, GCP.
- Knowledge of CI/CD processes, observability, and best practices for data engineering.
- Previous experience in fintech or financial services.
- International experience and additional languages. What comes with working at Embat?
We offer a platform that allows you to reach your professional and personal goals. We pride ourselves on working in an evolving and agile environment, with day-to-day interaction with every member of the team. No bureaucracy or hierarchy. We rather give you space to lead, build, collaborate and create value to our users. Additionally, being an Embat(ier) also comes with the following benefits:
- A competitive salary according to the project and responsibility.
- Hybrid working setup & flexible schedule
- Latest technology of your choice to do your impactful work with.
- Access to private health insurance with Sanitas
- Access to salary on demand, restaurant card, transport card, and kindergarden checks through Payflow
- English Classes
- Career progression - we are a small team with great ambitions.
- An opportunity to work hand in hand with our founders who built their careers in Investment Banking at J.P. Morgan for more than a decade.
- 360º development - through internal and external talks, sponsored conferences and many more to come.
- Twice-yearly performance reviews
- Team Buildings plans
Seien Sie der Erste, der es erfährt
Über das Neueste Data engineering Jobs In Deutschland !
Lead Data Engineering - Data Production (m/f/d)
Gestern
Job angesehen
Arbeitsbeschreibung
At Statista , we're all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions.
Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees.
We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters – keep writing it as part of our team.
Are you ready to join us?
bit.ly/3NGPzQQLead Data Engineering - Data Production (m/f/d)
Gestern
Job angesehen
Arbeitsbeschreibung
At Statista , we're all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions.
Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees.
We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters – keep writing it as part of our team.
Are you ready to join us?
Schauen Sie sich die Aufgabenübersicht unten an Wenn Sie überzeugt sind, dass Sie die richtigen Fähigkeiten und Erfahrungen haben, bewerben Sie sich noch heute.
-
Contribute to Statista's Data Production mission by building an automated, at-scale production machine for high-value data that empowers corporates and AI-builders worldwide.
-
Lead your team both disciplinarily and professionally, setting objectives, managing delivery, and actively contributing to high-priority projects.
-
Oversee the extraction of data from multiple sources at scale, leveraging automation and AI tools where applicable, and ensure data is structured, processed, and ready for further use or publication.
-
Build and maintain scalable data pipelines and orchestration workflows to support both data production and content publishing processes.
-
Monitor and optimize the performance, reliability, and security of data infrastructure, ensuring high availability across all systems.
-
Collaborate with internal stakeholders to understand requirements, provide automated sourcing solutions, and facilitate large-scale data ingestion and publishing.
-
Participate in strategic decisions for data production, value contribution, AI & automation initiatives
-
Continuously analyze established processes and identify opportunities for automation and optimization across production and publishing workflows.
-
5+ years of experience in Data Engineering, Data Operations, or a related field, with a strong track record of leading technical teams and delivering complex data solutions.
-
Demonstrated experience in building and scaling data pipelines, ETL processes, and automated workflows in production environments.
-
Strong Python skills for developing scalable automation, backend services, and data processing pipelines.
-
Proficiency in workflow orchestration, containerization, and version control tools (e.g., Apache Airflow, Docker, git).
-
Expert command of SQL for querying, manipulation, and optimization of large datasets.
-
Deep understanding of data modeling and architecture, with a proven ability to implement best practices for robust, scalable, and maintainable systems.
-
Hands-on experience with cloud infrastructure (AWS preferred: ECS, EC2, RDS, S3), including deployment, monitoring, and management; Infrastructure-as-Code is a plus.
-
Track record of strategic thinking and execution, able to align data production and publishing initiatives with business goals.
In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from:
-
Work from abroad 10 days a year (up to 30 if your family lives abroad)
-
Hybrid work and flex-time
-
International team and social events
-
Career & training opportunities
-
Attractive locations and modern offices
-
Mental health support by OpenUp
Some of the benefits listed here apply only to the German entity and to Junior-level roles or above.
Lead Data Engineering - Data Production (m/f/d)
Heute
Job angesehen
Arbeitsbeschreibung
At Statista , we're all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions.
Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees.
We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters – keep writing it as part of our team.
Are you ready to join us?
Contribute to Statista's Data Production mission by building an automated, at-scale production machine for high-value data that empowers corporates and AI-builders worldwide.
Lead your team both disciplinarily and professionally, setting objectives, managing delivery, and actively contributing to high-priority projects.
Oversee the extraction of data from multiple sources at scale, leveraging automation and AI tools where applicable, and ensure data is structured, processed, and ready for further use or publication.
Build and maintain scalable data pipelines and orchestration workflows to support both data production and content publishing processes.
Monitor and optimize the performance, reliability, and security of data infrastructure, ensuring high availability across all systems.
Collaborate with internal stakeholders to understand requirements, provide automated sourcing solutions, and facilitate large-scale data ingestion and publishing.
Participate in strategic decisions for data production, value contribution, AI & automation initiatives
Continuously analyze established processes and identify opportunities for automation and optimization across production and publishing workflows.
5+ years of experience in Data Engineering, Data Operations, or a related field, with a strong track record of leading technical teams and delivering complex data solutions.
Demonstrated experience in building and scaling data pipelines, ETL processes, and automated workflows in production environments.
Strong Python skills for developing scalable automation, backend services, and data processing pipelines.
Proficiency in workflow orchestration, containerization, and version control tools (e.g., Apache Airflow, Docker, git).
Expert command of SQL for querying, manipulation, and optimization of large datasets.
Deep understanding of data modeling and architecture, with a proven ability to implement best practices for robust, scalable, and maintainable systems.
Hands-on experience with cloud infrastructure (AWS preferred: ECS, EC2, RDS, S3), including deployment, monitoring, and management; Infrastructure-as-Code is a plus.
Track record of strategic thinking and execution, able to align data production and publishing initiatives with business goals.
In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from:
Work from abroad 10 days a year (up to 30 if your family lives abroad)
Hybrid work and flex-time
International team and social events
Career & training opportunities
Attractive locations and modern offices
Mental health support by OpenUp
Some of the benefits listed here apply only to the German entity and to Junior-level roles or above.