50-99

Cegal Sverige AB

Data Engineer

Stockholm

AI/ML

Data analysis

Data engineering

Data science

Data & Analytics

Python

Power BI

Data Modeling

PowerPivot

SQL Server

Databricks

SSRS

SSIS

Data Mining

Data Warehousing

T-SQL

Powershell

SSAS

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

Build Measure Learn Sweden AB

Senior Data Engineer

Göteborg

Data Analysis

Kafka

PostgreSQL

Spark

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

Scala

Azure

10-19

Ett teknikföretag som har som målsättning att öka våra kunders digitala närvaro.

Nvrmind AB

Data Warehouse Engineer

Database administration

Python developer

What is Data Modeling? Get more information about Data Modeling and browse through Demandos tech glossary to learn more about all the different terms.