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(Senior) Data Engineer

FREENOW

Allemagne
À distance
EUR 65 000 - 85 000
Il y a 30+ jours
Je veux recevoir les dernières offres d’emploi à Bremen

District Sales Manager, Local Government

Palo Alto Networks

Köln
À distance
EUR 40 000 - 60 000
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Technical Sales Representative DACH

Assa Abloy Group

Wiesbaden
À distance
EUR 60 000 - 80 000
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Remote/Hybrid (Hamburg): Assistenz der Geschäftsführung (gn.) - Vollzeit

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Hambourg
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(Junior) Product Manager (m|f|d) Regenerative Medicine / Clinical Applications

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Allemagne
À distance
EUR 70 000 - 95 000
Il y a 30+ jours
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EUR 60 000 - 80 000
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Senior Product Manager - Analytics

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(Senior) Data Engineer
FREENOW
Allemagne
À distance
EUR 65 000 - 85 000
Plein temps
Il y a 30+ jours

Résumé du poste

A leading mobility company is looking for a (Senior) Data Engineer to work in a collaborative environment. The role involves implementing a Data Mesh architecture, developing scalable data solutions, and ensuring data quality. Candidates should have strong SQL and programming skills, particularly in Python or Scala, and be familiar with AWS services. Flexible working options are offered, including fully remote positions.

Prestations

Fully remote or hybrid working models
Free Udemy e-learning access
Sabbatical & special leave policies
Subsidised gym membership
Employee assistance program
Personal development budget

Qualifications

  • Advanced knowledge of at least one programming language, preferably Scala or Python.
  • Expert level of SQL, experience in building data pipelines.
  • Knowledge of distributed systems and AWS services.

Responsabilités

  • Collaborate with cross-functional teams for data requirements.
  • Develop and maintain scalable data products.
  • Build data quality monitoring frameworks.

Connaissances

SQL
Python
Data warehousing
Data analysis
Scala

Outils

Airflow
Databricks
Spark
Kafka
AWS
Description du poste
Location: We are flexible! Come and join us either in Hamburg, Berlin, Barcelona or Athens.

FREENOW empowers smarter mobility decisions helping people to move freely and cities to thrive.

Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate developers who strive for excellence and like to have fun.

Are you passionate about data engineering and ready to revolutionize how data is managed and utilized within an organization? We are looking for a skilled and innovative (Senior) Data Engineer to join our dynamic team and help us implement a cutting-edge Data Mesh architecture.

At FREENOW we believe in data driven decisions that drive our business forward. We are currently transitioning into a data mesh architecture to establish a very close collaboration between data engineers, data analysts, data scientists and machine learning engineers.

Are you ready for your next ride?
YOUR DAILY ADVENTURES WILL INCLUDE:
  • Collaborate with cross-functional teams including data analysts, data scientists, and software engineers to understand data requirements and design optimal data solutions in the Data Mesh environment.
  • Develop, implement, and maintain scalable data products that enable the seamless flow of data from various sources to the Data Mesh architecture.
  • Create and manage data models that cater to the specific needs of data consumers while adhering to data governance and security standards.
  • Design and build data quality monitoring frameworks to ensure data accuracy, consistency, and reliability.
  • Stay updated with the latest industry trends and best practices in Data Engineering and Data Mesh to continuously improve data pipelines and processes.
  • Build high-performance APIs to access and query data from data warehouse.
  • Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
  • Coordinate and oversee the successful delivery of complex data engineering projects, ensuring alignment with timelines, objectives and stakeholders.
Our Techstack: Airflow | Databricks | Trino | Spark | Kafka | AWS
TO BE SUCCESSFUL IN THIS ROLE:
  • You have advanced knowledge of at least one programming language and are happy to learn more. Our core languages are Scala and Python.
  • Expert level of SQL (especially SparkSQL) and Datawarehouse concept, Database. Experience in building data pipelines is a core requirement. Love getting your hands dirty with the data implementing custom ETLs to craft it into information
  • You have knowledge of distributed system, Lambda, AWS S3, AWS Cloud watch ...
  • Experience with AWS, Hive, Spark, Trino, Databricks is helpful.
  • Enjoy working with stream processing frameworks like Spark structured streaming, Kafka streams.
  • You understand requirements beyond the written word. Whether you're working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by many customers, your attention to detail leads to a delightful user experience.
  • Fluent proficiency in Business English.
  • Exceptional analytical skills, lateral thinking and experience in solving challenging problems. Experiences in working with Data Visualisation tools (e.g. Tableau, Metabase) is a plus.
BENEFITS & PERKS IN A NUTSHELL:
  • Fully remote* or hybrid working models
  • Free Udemy e-learning access
  • Sabbatical & special leave policies
  • Subsidised gym membership
  • Birthday, 24th + 31st December off
  • Partner product discounts
  • Mobility budget for FREENOW App
  • Free language courses
  • Employee assistance program
  • Personal development budget
Plus more local benefits depending on your work location!

*in one of the 10 countries where we have a legal entity: France, Spain, Germany, Austria, Portugal, Italy, UK, Ireland, Poland & Greece

DIVERSITY, EQUITY & INCLUSION:

FREENOW is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age.
We want you to grow and evolve, bring your true self to work.

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* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.

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