Data Engineer

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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 can-do attitude. You will take part in our client implementation projects to help and guide our clients to become more data-driven.

 
Data Engineers are the data professionals who develop and construct the corporate data eco-system. 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.

An Azure Data Engineer also helps ensure that data pipelines and data stores are high-performing, efficient, organized, and reliable, given a specific set of business requirements and constraints. This professional deals with unanticipated issues swiftly and minimizes data loss. An Azure Data Engineer also designs, implements, monitors, and optimizes data platforms to meet the data pipeline needs.

A candidate for 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.

Requirements

Technical University degree in Computer Science, Information Technology or Engineering.

Preferably 1-3 years of experience as data engineer or similar role.

Familiar with Microsoft Azure Data lake, SQL database and data warehouse solutions.

Experience in designing, implementing, and supporting enterprise-scale ETL / ELT pipelines.

Ability to integrate data from a variety of sources using integration and orchestration tools (e.g. Azure Data Factory).

Fluent in English and good communication skills.

Swedish on conversation level is beneficial.


You are

Social team-player with drive and positive attitude

Analytical and driven

A person with “Can-do mentality”


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


We offer, part from a competitive salary, also

Pension

Healthcare allowance

Skills development

Monthly social activities

Joint out of work activities and and annual adventures