Senior Data Engineer

About Reinsight

Our Business Intelligence & Analytics team is providing consulting services to clients in the Nordic region from our office in Stockholm based on the latest technology leading platform providers such as Microsoft Amazon and Google. The demand around cloud based analytical platforms is constantly growing and we are now looking for candidates with strong technical competence and a cando attitude. You will take part in our client implementation projects to help and guide our clients to become more datadriven.

Data Engineers are the data professionals who develop and construct the corporate data ecosystem. They are software engineers who design build and integrate data from various resources define data pipelines and design for data security and compliance.

Responsibilities for this role include helping stakeholders understand the data through exploration building and maintaining secure and compliant data processing pipelines by using different tools and techniques. This professional uses various Azure data services and languages to store and produce cleansed and enhanced datasets for analysis.

About the role

As a Senior Data Engineer in our backend team you will help to ensure that data pipelines and data stores are highperforming efficient organized and reliable given a specific set of business requirements and constraints. You will deal with unanticipated issues swiftly and minimize data loss. You will also design implement monitor and optimize data platforms to meet the data pipeline needs.

A candidate in this role must have solid knowledge of data processing languages such as SQL Python or Scala and they need to understand parallel processing and data architecture patterns.

To be considered for the role we see that you come with the following experiences and skills:

• Technical University degree in Computer Science Information Technology or Engineering.
• At least 3 years of experience as data engineer or similar role
• Familiar with Microsoft Azure Data lake Databricks SQL database and data warehouse solutions.
• Experience in designing implementing and supporting enterprisescale ETL / ELT pipelines.
• Ability to integrate data from a variety of sources using integration and orchestration tools (e.g. Azure Data Factory).
• Fluent in Swedish and English with good communication skills.

You are

• A Social teamplayer with drive and positive attitude
• Analytical communicative and driven
• A flexible person with Cando mentality
• Experienced in planning and executing in your projects

You would like to work with us if you

• Want to work with the latest technology and projects within in Analytics and AI
• Are motivated by customer challenges
• Like to work in teams and are humble
• Want to be in a workplace where your thoughts are valued and your ideas make an impact

How to Apply

If youre ready to launch your career and make a meaningful impact on organizations through your passion for Data Engineering then dont hesitate to send in your application by hitting the apply button.

We look forward to hearing from you!