Consultancy

Finance & Insurance

Telecom

Ecommerce

Internet of Things

AI & Machine learning

Analysis & Big data

Code days

Competitive salary

Snacks and beverages

Wellness allowance

Non-regulated working hours

Office first

Remote first

Career development

Bonus program

Dedicated development time

Hackathons

Development opportunities

More than 25 days of vacation

Updated tech stack

Wish to have customer contact

No probationary period

Own responsibility

Central office

Collective agreement

Fixed salary

Occupational pension

Choose own equipment

Azure

Pandas

PostgreSQL

Google Analytics

Clojure

Amplitude

Google Cloud Dataflow

Google Bigquery

Python

Scikit-Learn

Power BI

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

Build Measure Learn Sweden AB

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

Data Engineer

Göteborg

Data engineering

Data Warehousing

Scala

Data Modeling

Spark

Senior Data Engineer

Data science

Data Analysis

Kafka

Data Mining

Senior Data Analyst

AI/ML

Data analysis

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