Senior Data Engineer

extra holidays - extra parental leave
Work set-up: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Extensive experience with Azure Data Factory or similar cloud ETL tools., Strong expertise in data engineering, including data integration and orchestration., Proficiency in Python, Pyspark, or Spark, with experience in Data Bricks preferred., Solid understanding of modern ETL/ELT practices, data modeling, and client-facing communication..

Key responsibilities:

  • Develop and maintain scalable data pipelines using Azure Data Factory and Data Bricks.
  • Collaborate with clients and internal teams to define, validate, and test data integration solutions.
  • Support deployment and production cutovers, including out-of-hours deployments.
  • Identify and implement improvements to existing data processes for scalability and maintainability.

Dayshape logo
Dayshape Scaleup https://www.dayshape.com/
51 - 200 Employees
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Job description

About Us

We’re Dayshape—an awardwinning software scaleup with big ambitions and the momentum to match. Trusted by Big Four and many other top professional services firms globally, our AIpowered resource management platform is helping organisations to achieve extraordinary results.

Our platform stands apart as the only solution that combines advanced AI, realtime project financials, and firmwide insights to elevate resource management to a strategic function. By driving profitable growth, powering confident decisions, and ensuring satisfied clients and teams—were helping our customers build strong organisations and careers for the long term.

Why our customers love Dayshape:

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication
  • Teamwork
  • Detail Oriented
  • Problem Solving

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