What
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
Why
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.
How
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
SKILLS
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
Must:
Azure cloud
SQL databases
Azure ADLS
Talend data fabric - Data integration
Spark
Orchestration tools
Python/Scala
Nice to have:
NoSQL databases
Graph databases
DBT
DataBricks
Responsibilities
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
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.
Amplitude
AWS
Azure
Google Analytics
Google Bigquery
Google Cloud Dataflow
Pandas
PostgreSQL
Power BI
Python
R
Scikit-Learn
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