50-99

"Vi hjälper företag och organisationer med IT-förbättringar genom egna produkter, tjänster och problemlösning med programmering i världsklass"

Nordicstation AB

Lockas du av en arbetsplats där ha roligt på jobbet, engagemang och professionalitet går hand i hand? Då är Nordicstation platsen för dig!Vi växer och är på jakt efter begåvade utvecklare som vill hoppa ombord på vår inspirerande färd mot framtidens mål. Med oss får du uppleva en gemenskap där vi prioriterar hållbarhet, utveckling och, framför allt, glädje på jobbet. Vår familjära kultur, kombinerat med en hög expertisnivå, skapar en unik arbetsmiljö.Detta erbjuder vi dig:<ul><li>Generösa förmåner, inklusive tjänstepension och bonusmöjligheter</li><li>Kompetensutveckling</li><li>Engagerande konferenser, teamaktiviteter, after works och hälsoinitiativ</li></ul>Som en del av vårt team kommer du arbeta nära både kollegor och våra värdefulla kunder. I rollen som utvecklare hos oss kommer du att ta dig an en spännande mix av uppgifter inom förvaltning, vidareutveckling och nyutveckling av datalager för en rad olika kunder. Denna mångfald skapar en dynamisk och varierande arbetsdag som ständigt erbjuder nya utmaningar.Din profil:<ul><li>Minst 4 års erfarenhet inom relevanta områden</li><li>Relevant ingenjörsexamen/yrkesutbildning inom IT eller datateknik</li><li>Behärskar SQL Server, PL/SQL Oracle och MySQL/Maria DB</li><li>Erfarenhet av ETL-tekniker, som SSIS och Azure Data Factory</li><li>Kunskap om Data Warehouse-lösningar, som ex: <ul><li>Data vault</li><li>Kimball</li><li>Inmon</li></ul></li><li>- Behärskar svenska språket i tal och skrift Extra plus om du har:</li><li>Kunskap inom rapporteringsverktyg som Power BI, Qlickview eller Tableau</li><li>Kunskap inom C#-programmering</li><li>Tidigare konsulterfarenhet</li><li>Förståelse för agila arbetsmetoder</li></ul>Som individ värdesätter vi din förmåga att kommunicera, din ambition och ditt engagemang. Ditt självständiga driv och din flexibilitet gör dig till en ovärderlig del av vårt team.

DW developer

Stockholm

Database administration

Data analysis

SSIS

Data Warehousing

Azure Database For Mysql

Build what's next, today!

Devoteam

Your Role: As a Senior Data Engineer, you will lead transformative projects, delivering bespoke data solutions and embracing the forefront of Generative AI technologies. Your responsibilities will include:<ul><li>Designing and implementing state-of-the-art databases, data pipelines, and warehouses tailored to client needs.</li><li>Taking a leading role in initiatives around Google's innovative Gemini foundation model.</li><li>Serving as a trusted consultant, converting complex data challenges into elegant technical solutions and nurturing client relationships.</li><li>Mentoring team members, promoting a culture of knowledge sharing and professional growth.</li></ul>What We Offer:<ul><li>Professional Development: Access to leading learning platforms and training programs, including Udemy Business, Google Cloud Skills Boost, and our proprietary GCloud University. We support your certification pursuits and offer a tailored career progression plan.</li><li>Career Flexibility: Engage with a variety of career paths, technologies, and projects, from AI innovations to cloud solutions, in a role that allows you to define your impact.</li><li>Community and Culture: Be part of a dynamic, global community of experts. Participate in regular team syncs, social gatherings, and international events that foster collaboration and fun.</li></ul>Who You Are:<ul><li>A seasoned professional with extensive experience in data solution design, development, and deployment.</li><li>Proficient in Google Cloud Platform, with a strong understanding of data warehousing concepts and designs.</li><li>Adept in programming, particularly in Python or Java, with a zest for learning new technologies.</li><li>Excellent in communication, capable of transforming client needs into solutions, and conveying complex ideas with ease.</li><li>A collaborative team member, eager to share knowledge, mentor, and contribute to a positive, inclusive work environment.</li></ul>

Data Engineer,

Data engineering

Data science

AI/ML

Python

Google Cloud Platform

Java

500-999

Storytel is one of the world’s leading audiobook and ebook streaming services. Our vision is to make the world a more empathetic place with great stories to be shared and enjoyed by anyone, anywhere, anytime.

Storytel

About the Role
Storytel is hiring a Senior Data Engineer to join the Data Engineering team, within the Data & Engineering Foundation domain. We are working to build the next generation data ecosystem which enables our machine learning and product teams to deliver automated insights and recommendations internally to Storytel’s internal partners and end users.

As a Data Engineer at Storytel, you will:
- Build a large scale, highly performant self service data platform using cutting edge technologies while focusing on scalability, robustness and minimizing technical debt
- Drive internal tooling and process development for continuously increasing data quality
- Constantly strive to improve the engineering experience of our users
- Implement effective data governance across the business
- Collaborate with machine learning engineers, BI analysts and product teams to tackle data challenges


About the Team
The Data Engineering team is responsible for delivering data and insights to the entire Storytel organisation. We drive the full data lifecycle, from ingestion to delivery, and help ensure that the rest of the business has the data, tools and engineering collaboration needed to help them make informed data-driven decisions. As a team we provide cross-functional competencies in data engineering as well as BI development to the rest of Storytel.

About you
The ideal candidate has several of the following qualifications:
- +5 years of experience working as a Data Engineer or Software Engineer, with hands-on coding experience in Python and SQL (required)
- Experience with cloud infrastructure (Azure, AWS, Google Cloud) and cloud data warehousing (preferably BigQuery)
- Experience with designing and developing pipelines and data integration solutions using ELT tools such as dbt™
- Experience with data modeling, access and storage
- Experience working in an agile setup
- Passion and drive for continuous learning and pride in establishing software engineering processes and best practices

Bonus points:
- Extensive experience with Google Cloud Platform
- Infrastructure as code
- CI/CD workflows
- Knowledge of the MLOps paradigm
- Moreover, collaboration will be key in everything you do, therefore humility and strong verbal and written communication skills are of utmost importance.

What we offer
Storytel offers a friendly, entrepreneurial and fast-moving work environment where new ideas and creativity are welcomed. At Storytel we trust our employees and believe in their autonomy, we like doing things in new ways and questioning old methods. The Storytel culture - characterised by being welcoming and helpful - is important to us. We don’t believe in hierarchy and micromanagement; we highly believe in giving responsibility and having people grow alongside it.

We offer flexible working hours, remote working possibilities and flexible public holidays for people to celebrate what they truly believe in. And of course – you get unlimited access to audio and ebooks from our service!

This candidate will ideally be located in Copenhagen, Denmark or Stockholm, Sweden. We also welcome fully remote positions in the EU region for the right candidate. Does this sound like an opportunity for you? If you feel like Storytel is a place where you could thrive, let us know and we will contact you as soon as possible.

Senior Data Engineer

Cegal Sverige AB

Data Engineer

Data & Analytics

Power BI

Data Modeling

PowerPivot

SQL Server

Databricks

SSRS

Data Mining

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

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

Göteborg

Scala

Azure

Spark

Data Analysis

Kafka

PostgreSQL

20-49

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

Nvrmind AB

Data Warehouse Engineer

Python developer

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