Senior Data Engineer (F/M/X)

Acuity Analytics; Deutschland; Vor Ort; EUR 65.000 - 100.000; Vollzeit

Zusammenfassung

Acuity Analytics in Munich, Germany, is seeking a Data Engineer to design analytics data models, implement ETL and data integration, and work with cloud-based infrastructure.

You will use Azure, AWS, and Google Cloud for hosting data solutions, leveraging Databricks/Spark, Python and SQL to develop analysis and reporting solutions. Collaborate with teams to deliver scalable data platforms for regulated industries.

Qualifikationen

• Proven experience in developing ETL and data integration solutions.
• Strong knowledge of the Azure data engineering stack (ADF, Synapse, Data Lake, Blob, Cosmos DB).
• Experience with Databricks and Spark; proficient in Python and SQL.

Aufgaben

• Design data models for analytical applications.
• Develop ETL and data integration solutions across diverse data sources.
• Work with big data components and migration strategies.
• Work with cloud-based infrastructure (Azure, AWS, and Google) for hosting data solutions and applications.

Kenntnisse

Data engineering

Python

SQL

Git

Tools

Azure Data Factory

Azure Synapse

Azure Data Lake

Azure Blob

Cosmos DB

Azure Databricks

Microsoft Fabric

Databricks Spark

Jobbeschreibung

Ready to take ownership of the German market and shape the future of digital transformation?

**This position is available for residents in Germany
Location: Munich, Germany.

About us

Ascent has recently been acquired by Acuity Analytics. This is both a significant milestone for us and a tremendous opportunity for you. Acuity Analytics is a business with a strong global reputation, an impressive client base and ambitious growth plans. We delivers deep insights and domain-led digital transformation to high-growth and heavily regulated organisations. To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency.

Your responsibilities

Your daily responsibilities could be quite varied, but typically our Data Engineers (F/M/X):

• Design data models of analytical applications
• Understand, build and develop ETL and data integration solutions using a wide array of technologies and data sources
• Work with big data components and migration strategies
• Work with cloud-based infrastructure (Azure, AWS, and Google) for hosting data solutions and applications.
• Support the development of analysis and reporting solutions

Skills and experience

• We’re looking for people with good data engineering skills, and you’ll ideally bring with you:
• Proven role experience in developing ETL and data integration solutions
• Good knowledge of the Azure data engineering stack - Azure Data Factory, Azure Synapse, Azure Data Lake, Azure Blob, Cosmos DB, Azure Databricks and Microsoft Fabric
• Capability in using Databricks and/or Spark
• Good experience in general programming – Python and SQL
• You’ll have experience working with data warehouse solutions, extracting and processing data in various ways using off-the-shelf tools and open-source tools. You’ll also be really familiar with working with version control systems (Git).
  

Why join us

People are at the Heart of our Business.By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive. Check out this page for more details.

If you have any questions contact our Talent Acquisition team on ta.admin@acuityanalytics.

For more details about Acuity Analytics please see here.