This Job Vacancy has Expired!

Data Engineer: Big Data & Analytics with Python (Remote)

WA Consultants

Posted on May 18, 2021 by WA Consultants

Stockholm, Sweden
Immediate Start
Annual Salary

Data Engineer with big data, analytics and python experience required by our global fashion client to join a team modelling and developing a new analytics-solution in the Azure tech stack, e g including tabular cubes.


  • Develop and design the next generation data and analytics solution with focus on enabling self-service capabilities

  • Add value by leveraging and setting new trends in data engineering through design, architecture, and implementation of highly used data services

  • Participate in the analysis and understanding of business needs, translating it to technical solutions, assuring that both business- and technical-needs are met

  • Collaborate with different development teams and source systems to make data available to our analysts in the best way, always using best practices

Required skills/qualifications:

  • 5+ years' experience of development and testing in the field of Data & Analytics

  • Experience in Azure cloud tech-stack

  • Experience in Big Data technologies (eg Spark)

  • Experience in Big Data file formats (eg Parquet)

  • Experience in object-oriented programming languages (Python)

  • Solid understanding of Data Modeling. Experience in modelling and developing tabular cubes. Experience also in composite models is a plus.

  • Experienced in agile methodologies

  • Experience from successful delivery of high-quality outcomes

  • Fluent in English both written and verbal

  • Strong communicator and team-player

  • Ability to build relations with different types of people and roles

Required language skills:

  • English

To arrange an interview, please call Jonathan Taylor on (see below) or email CV to (see below)

WA Consultants is an Employment Business and an Employment Agency as described within The Conduct of Employment Agencies and Employment Businesses Regulations 2003.

Reference: 1200136573

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