Azure Data Engineer

Direct message the job poster from Capitole

Capitole is celebrating 10 years! We are now +1,000 people building an environment where talent is nurtured, recognized, and empowered to grow.

People First : trust, respect, and professional development.

Employee turnover rate of just 13%, well below the industry average.

Cutting-edge projects with global clients and modern technologies.

Tailored training programs : up to €1,200 / year per employee.

True flexibility to work your way.

Monthly check-ins and annual 360o evaluations to support your growth.

Private health insurance, flexible compensation, and Wellhub for your overall wellbeing.

Active tech communities to learn and share knowledge.

Amazing team events (yes, we know how to have fun too).

We are looking for a Senior Data Engineer to join our team and play a key role in designing, building, and maintaining scalable data processing pipelines .

You will collaborate closely with Data Scientists and Analysts , ensuring seamless integration, data quality, and enabling advanced analytics.

What you'll be doing

Design, implement, and manage cloud data storage systems .

Build and maintain ETL pipelines to automate ingestion, cleaning, and transformation processes.

Ensure data quality, integrity, and security across platforms.

Collaborate with Data Scientists to understand requirements and deliver robust solutions.

Monitor and optimize performance & scalability of Big Data solutions.

Troubleshoot and resolve system issues proactively.

What we're looking for

Required technical knowledge

Programming : Python, Java, or Scala (proficiency in at least one).

SQL : Strong expertise (Joins, Group By, subqueries, temporary tables).

Apache Spark (advanced knowledge).

Cloud : Experience with Azure, AWS, or Google Cloud .

DevOps : Hands-on with Azure DevOps, Jenkins , etc.

Visualization tools (Power BI, Grafana).

Certifications in cloud or big data technologies .

Experience

3+ years of hands-on experience with the above technologies.

Proven ability to handle large-scale data environments .

Strong critical thinking & problem-solving mindset.

Ability to work independently while collaborating in a team.

Excellent written and oral communication skills.

Results-driven, self-motivated, and comfortable in dynamic environments .

Solid time management and organizational skills.

International and multicultural experience is highly valued.

Schedule : Flexible, with intensive Fridays

Additional

Want to know more? Click here and find out!

Feel free to send us your profile, we are excited to meet you!

The employee will adhere to information security policies :

• Will have access to confidential information related to Capitole and the project they are working on.
• Must comply with the security policies and internal policies of the company and the client.
• Must sign an NDA.

#J-18808-Ljbffr