Ledigt jobb som Data Engineer

Build Measure Learn Sweden AB - Göteborg - Frilansare

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  • Data engeneering (Mer än 2 år erfarenhet)

Om rollen


We have taken a decision to be data- and insights-driven. For this we need an Enterprise Data Management platform, with focus on enterprise data (not product development data), that will help us:

Support the decision-making process through business intelligence and predictions via advanced analytics

Connect the entire enterprise data eco-system to optimize availability, utilization and data terminology

Make our business processes more efficient via operational automation


Our current business processes are manual, time-consuming and error-prone. We also lack master sources for some critical data which needs to be bought or built. Our main business use cases are financial analysis and planning, People & resource analysis and planning (HCM), Customer & Sales analysis and planning (CRM) etc.


We will design and build an Azure Enterprise Data Management platform, that supports both operational and analytical use cases, such as business process automation, analysis and planning/predictions

The platform will contain capabilities such as Data Integration management, Data Quality management, Data Governance (data catalogue), BI & EDW, Advanced analytics, API publishing etc. where capabilities will be built/bought based on priority


5+ years of experience as a Data Engineer/Senior

Good working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases

A successful history of manipulating, processing and extracting value from (large) datasets

Experience building and optimizing data pipelines, architectures and data sets

Experience in securing data quality at ingestion, rest and transit

Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement

Strong analytic skills related to working with unstructured datasets

Experience with dimensional modeling (facts/dimensions/measures/SCD)

Good understanding of the CI/CD processes and best practices of the software delivery

Experience supporting and working with cross-functional teams

Nice to have – experience in Finance/Marketing/Customer/HR domains


Azure cloud

SQL databases

Azure ADLS

Talend data fabric - Data integration


Orchestration tools


Nice to have:

NoSQL databases

Graph databases




Design, creating and modifying pipelines with alignment to the business team needs

Onboarding of the new data sources – profiling and quality assure

Issues troubleshooting of the pipelines

Taking ownership and implementing of the schema evolution of the databases

Implementing data consumption capabilities

Collaborating with ProductQADevOpsInfraSecurityAnalytics teams

Om Build Measure Learn Sweden AB

Typ av företag Produktbolag Konsultbolag
Antal anställda 0-9 anställda
Bransch AI & ML Analys & Data E-handel Finans & Försäkring Internet of Things Telecom Webb

Helping Sweden's businesses with product led growth via insights by data. Making it simple, instantaneous & actionable.

Build Measure Learn is a data & analytics consulting company that is expanding to meet market demand (assignments at clients) and to achieve our mission of playing an impactful part in helping companies in Sweden on their journey to become data-driven.

Are you skilled in the area of data & analytics and feel that it is time to shift context to continue your growth? Would you like colleagues that are best-in-class and humble about it? We will find a great match between you and assignment where both you and the client benefit. Our clients are in need of help in having data guide their decisions, democratizing data and using data to power everything.

We seek you that love everything about data. You have no problem diving into data; cleaning it, transforming it, analyzing it, visualizing it, and using it to tell stories. You want to develop your career at a growing company and work with a massive amount of data-points.

Tech stack

Generella förmåner

  • Avsatt tid för vidareutbildning

  • Bonusmodell

  • Centralt kontor

  • Eget ansvar

  • Fast lön

  • Förtroendearbetstid

  • Fri tillgång till snacks och annat tilltugg

  • Friskvårdsbidrag

  • Hackathons

  • Kandidaten får välja egen utrustning

  • Kandidaten kommer att ha kundkontakt

  • Karriärmöjligheter

  • Koddagar

  • Kollektivavtal

  • Konkurrenskraftig lön

  • Mer än 25 dagars semester

  • Ny teknik

  • Office first

  • Remote first

  • Tillämpar inte provanställning

  • Tjänstepension

  • Utvecklingsmöjligheter

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