Data Engineer / Data Analyst

Type: Permanent position, full-time, part-time and mobile working

At bridgingIT, people are our priority , and now it's your turn!

Shape the future of data with us!

Whether you're a beginner or an experienced professional – if you love data and want to create real value from it, you've come to the right place. With us, you can contribute your expertise, develop it further, and work with our team to create innovative solutions. Become part of our analytics and data community and collaborate with like-minded individuals on exciting projects.

Data Engineering:

Data processing & architecture : Conception and development of ETL/ELT pipelines (e.g. on Databricks, Fabric, Snowflake) as well as implementation of scalable data architectures in cloud environments (Azure, AWS).

Data modeling & optimization: Development of high-performance and scalable data models as well as definition of efficient data structures for analyses and reports.

Data quality & process optimization: Ensuring data quality through automation, monitoring and continuous optimization.

Close coordination with specialist departments to implement technical requirements into data-driven solutions.

Data Analysis & Visualization:

Data analysis & visualization : Creation of meaningful analyses and dashboards with Power BI or Tableau to gain business-relevant insights.

Data-driven decision-making : Supporting specialist departments in developing sound decision-making criteria.

Data Science:

Machine Learning & Model Development : Development and training of ML models to solve complex problems such as predictions and optimizations.

Data analysis & statistics: Close collaboration with data engineers, analysts and MLOps teams to efficiently deploy models into production.

Education : You have a completed degree in computer science, mathematics, business informatics, data science or a comparable field.

SQL and Python : Both technologies are basic tools that you are surely proficient in.

Data engineering tools: Visualization: You have sound knowledge of Power BI or Tableau and are able to present complex data views in a simple and understandable way.

You can structure and analyze data and derive usable insights from it.

You enjoy working in an interdisciplinary environment and contribute your expertise in an agile setting.

You have a German language proficiency of at least C1 level and can use it successfully in your daily work.

Together, we implement digitalization strategies for startups, medium-sized businesses, and corporations. With us, you'll find not only career and professional development opportunities, but also flexibility and a family-friendly work environment. E-Mail auf datacareer.de ansehen company culture is characterized by mutual respect, so we all treat each other as equals. E-Mail auf datacareer.de ansehen days of vacation + the option of 10 additional vacation days per year

• Mobility Package – (electric) company car, railcard or bicycle leasing
• Discounts, such as kindergarten subsidies, fitness centers, etc.
• Professional onboarding through personal mentoring
• Lifetime working time account – opportunity to save up vacation or bonuses
• External and internal training opportunities and individual coaching
• Further information about the benefits and the application process can be found on our careers page and in our FAQs.