Data Engineer ( Databricks Specialist)

About Mindcurv (Part of Accenture Song)

We help our customers rethink their digital business, experiences, and technology to navigate the new digital reality. We do this by designing sustainable and accountable solutions for humans living in a digital world. Mindcurv holistically covers the market s need to digitalise business processes and customer experiences and take advantage of the cloud following DevOps and agile principles.

Your role

We are seeking a highly skilled and experienced Senior Data Engineer to join our growing Data and Analytics team. The ideal candidate will have deep expertise in Databricks and cloud data warehousing, with a proven track record of designing and building scalable data pipelines, optimizing data architectures, and enabling robust analytics capabilities. This role involves working collaboratively with cross-functional teams to ensure the organization leverages data as a strategic asset. Your responsibilities will include:

• Design, build, and maintain scalable data pipelines and ETL processes using Databricks and other modern tools.
• Architect, implement, and manage cloud-based data warehousing solutions on Databricks (Lakehouse Architecture)
• Develop and maintain optimized data lake architectures to support advanced analytics and machine learning use cases.
• Collaborate with stakeholders to gather requirements, design solutions, and ensure high-quality data delivery.
• Optimize data pipelines for performance and cost efficiency.
• Implement and enforce best practices for data governance, access control, security, and compliance in the cloud.
• Monitor and troubleshoot data pipelines to ensure reliability and accuracy.
• Lead and mentor junior engineers, fostering a culture of continuous learning and innovation.
• Excellent communication skills
• Ability to work independently and along with client based out of western Europe.

Who you are

• Bachelor s or Master s degree in Computer Science or a related field.
• 5 years of experience in data engineering roles with a focus on cloud platforms.
• Proficiency in Databricks, including Spark-based ETL, Delta Lake, and SQL.
• Strong experience with one or more cloud platforms (AWS preferred).
• Handson Experience with Delta lake, Unity Catalog, and Lakehouse architecture concepts.
• Strong programming skills in Python and SQL; experience with Pyspark a plus.
• Solid understanding of data modeling concepts and practices (e.g., star schema, dimensional modeling).
• Knowledge of CI/CD practices and version control systems (e.g., Git).
• Familiarity with data governance and security practices, including GDPR and CCPA compliance.

Nice-to-Have Qualifications

• Experience with Airflow or similar workflow orchestration tools.
• Exposure to machine learning workflows and MLOps.
• Certification in Databricks, AWS
• Familiarity with data visualization tools such as Power BI

What do we offer you

Perks, like drinks and snacks, pizza sessions, gaming nights and sensational parties, a pension scheme and a great salary, we ve got them all.

And if you crave an intellectual challenge, Mindcurv has you covered. Interesting projects involving the latest, hyper innovative tech. An agile, entrepreneurial environment, with lots of freedom and no politics. Work-life balance, a culture of transparency and a management team with their ears to the ground.

We typically are the trailblazers and innovators. A hybrid way of working in which you can work from home. You just come into one of our offices in Essen, Cologne, D sseldorf, Munich, Frankfurt a.M., Hamburg, Jena, Utrecht, Madrid, Cochin, Coimbatore or Trivandrum when it adds value to be on-site. Looking for a glance behind the scenes

Our high performers

You know who really thrive with usSelf-starters, team-players and continuous learners, with an uncanny ability to handle ambiguity. We ll equip you with everything you need to succeed, help you explore the length and breadth of your domain and provide you with constant growth opportunities, to enrich your career.

Ready for change

Are you ready for the next step in your careerFor a role in which you can be fully yourself and bring out the bestIn yourself, your colleagues and your clientsDon t wait any longer and apply for this job right now.