Junior Data Engineer – Göteborg Vi söker nu 2–3 juniora Data Engineers till ett växande data engineering-team i Göteborg. Här får du möjlighet att arbeta i en modern, molnbaserad miljö och vara med och utveckla skalbara datalösningar som skapar affärsvärde. Om rollen Som Junior Data Engineer blir du en del av ett team som utvecklar, strukturerar och optimerar datalösningar i Google Cloud-miljö. Du arbetar nära verksamheten och kombinerar tekniskt djup med affärsförståelse. Teamet använder en modern datastack bestående av Python, SQL, dbt och Apache Airflow. Kunskap och erfarenhet inom: ·         Civilingenjörs- eller masterexamen inom datateknik, teknisk matematik, teknisk fysik eller motsvarande teknisk utbildning ·         Intresse för data, programmering och systemutveckling ·         God grund i Python och förståelse för hur kod används i dataprojekt. ·         Kunna skriva SELECT-queries, joins och enklare transformationer. ·         Förstå grundprinciper för molnbaserade datalösningar. ·         Förstå vad en data pipeline är och hur arbetsflöden struktureras. Ej krav på att självständigt designa komplexa flöden initialt. ·         Förstå datamodellering och kunna arbeta med SQL-transformationer under handledning.   Personliga egenskaper: ·         Stark analytisk och strukturerad förmåga ·         Social och kommunikativ ·         Förmåga att samarbeta i team och arbeta nära verksamheten ·         Prestigelös och nyfiken med vilja att utvecklas ·         Svenska i tal och skrift Om uppdraget Start: Omgående Placering: Göteborg Låter detta som en spännande start på din karriär inom data engineering? Välkommen med din ansökan!

We’re now looking for an Embedded Software Engineer to join our customer’s development organisation in Lyngby, Denmark. You’ll be part of a skilled, international environment working with advanced communication systems where reliability, performance and safety are key. What will you do? As Embedded Software Engineer, you will work hands-on with the development of software for complex embedded systems used in aviation communication. Your work will help ensure that the software is reliable, secure and fit for use in critical applications. In practice, this means you will: Develop and maintain embedded software for products used in demanding, safety-focused environments Work across the software development life cycle, from requirements and design to implementation, testing and documentation Collaborate closely with other engineers in an agile team to design, integrate and improve system functionality Contribute to robust, secure and well-structured solutions that meet regulatory and documentation requirements Support continuous improvement of ways of working, tools and technical solutions Who are we looking for? You have a structured, detail-focused and disciplined way of working, enjoy solving complex technical problems and like collaborating closely with others in a team setting. You are someone who learns quickly. You’re also comfortable taking responsibility, can work independently when needed to drive your work forward. You also have: A degree in Software Engineering, Computer Science, or a similar technical field (or equivalent experience) Experience in embedded software development, using C and/or C++ and other modern tools and technologies. Experience working with data communication, network protocols and larger code bases Familiarity with requirements-driven design and validation processes The ability to understand both detailed technical aspects and the broader system perspective This is a consulting assignment, where you will be employed by Qlose and work on the assignment on-site at the customer’s offices in Lyngby, Denmark. Did we catch your interest? Glad to see you all the way down here, that’s usually a good sign! 🌟 Press “Apply now” and attach your CV or your LinkedIn profile, and we’ll take it from there. We work with continuous selection, so don’t wait too long – we like speed and curiosity!

Junior Data Engineer – Göteborg Vi söker nu 2–3 juniora Data Engineers till ett växande data engineering-team i Göteborg. Här får du möjlighet att arbeta i en modern, molnbaserad miljö och vara med och utveckla skalbara datalösningar som skapar affärsvärde. Om rollen Som Junior Data Engineer blir du en del av ett team som utvecklar, strukturerar och optimerar datalösningar i Google Cloud-miljö. Du arbetar nära verksamheten och kombinerar tekniskt djup med affärsförståelse. Teamet använder en modern datastack bestående av Python, SQL, dbt och Apache Airflow. Kunskap och erfarenhet inom: ·         Civilingenjörs- eller masterexamen inom datateknik, teknisk matematik, teknisk fysik eller motsvarande teknisk utbildning ·         Intresse för data, programmering och systemutveckling ·         God grund i Python och förståelse för hur kod används i dataprojekt. ·         Kunna skriva SELECT-queries, joins och enklare transformationer. ·         Förstå grundprinciper för molnbaserade datalösningar. ·         Förstå vad en data pipeline är och hur arbetsflöden struktureras. Ej krav på att självständigt designa komplexa flöden initialt. ·         Förstå datamodellering och kunna arbeta med SQL-transformationer under handledning.   Personliga egenskaper: ·         Stark analytisk och strukturerad förmåga ·         Social och kommunikativ ·         Förmåga att samarbeta i team och arbeta nära verksamheten ·         Prestigelös och nyfiken med vilja att utvecklas ·         Svenska i tal och skrift Om uppdraget Start: Omgående Placering: Göteborg Låter detta som en spännande start på din karriär inom data engineering? Välkommen med din ansökan!

XXL is one of Scandinavia’s largest sports and outdoor retailers, with more than 85 stores across three markets. Having recently becoming part of an international group, XXL is continuing its digital and data transformation to support scalable growth, smarter decision-making, and improved customer experiences. To strengthen our data platform and integrations capabilities, we are now looking for a Data Engineer to join our Data Team in Stockholm. About the Data Team The Data team is responsible for building and operating XXL’s cloud-based data platform and integration layer. We work across the full data lifecycle — from ingesting and integrating data from source systems, to making it available for analytics, reporting, machine learning, and operational use cases. The team is part of XXL’s IT organization of around 20 people across Sweden and Norway, with a strong focus on innovation, reliability, and modern engineering practices. The Role As a Data Engineer at XXL, you’ll play a key role in designing, building, and operating our data platform and integration solutions. You’ll work with data from multiple systems, bringing it together into a central data lake and analytics environment that is reliable, secure, and easy to use. This role blends data engineering, integrations, and platform ownership, making it a great fit for someone who enjoys working at the intersection of infrastructure and business needs. You’ll have real influence over technical decisions and a direct impact on how our data platform evolves over time. Key Responsibilities Design, build, and maintain robust ETL/ELT pipelines and data integrations Integrate data from internal systems, SaaS platforms, and external partners Develop and maintain data models, data marts, and analytics-ready datasets Ensure data quality, availability, and reliability through monitoring and automation Operate and evolve the data platform using CI/CD and Infrastructure as Code Collaborate with BI, analytics, and application teams on data-related solutions Implement data security, governance, and access control mechanisms Contribute to architecture, standards, and best practices within data engineering Continuously improve performance, scalability, and maintainability of data solutions QualificationsRequired 3+ years of experience as a Data Engineer or similar role Strong experience building ETL/ELT pipelines and data integrations Proficiency in Python and/or other relevant programming languages Experience with cloud platforms such as AWS or Azure Experience working with data lakes, cloud data warehouses, or analytics platforms Nice to Have Experience with Spark or distributed data processing frameworks Experience with services such as AWS Glue, Lambda, EMR, or Azure Synapse / Fabric Experience with Infrastructure as Code (e.g. Terraform, CDK) Experience with CI/CD pipelines for data workloads Data Engineering or cloud certifications (e.g. Databricks, AWS or Azure) Formal education in a relevant field is beneficial, but equivalent work experience can compensate for missing formal education. What We Offer We offer a key role in a stable, well-established company with a collaborative culture and short decision-making paths. You will be part of an experienced and supportive team where you can influence technical direction and grow together with the organization. Your work will directly impact decision-making in merchandising, logistics, ecommerce and operations, enabling faster insights and improved customer experiences. While many of us are passionate about sports and outdoor activities, this is not a requirement. In addition to a competitive salary and pension, we offer an attractive employee discount in our stores. Employment & Contact This is a permanent position based in XXL HQ Bromma, Stockholm. If you have any questions about the role, please contact Viktor Bjerre, IT Delivery Manager, at [email protected]

Providing Value & Impact - SwedQ. SwedQ is a consultancy company that has lately proven to have a unique model for those who want to grow, create a legacy, and take on challenges that both add and gain value. Year after year, we have managed to serve clients within a wide range of industries (intentionally excluding gambling and weaponry). During this time, we have also grown steadily—in revenue, in team size, and in the impact of our deliveries. We are looking for someone who wants to be part of the company in a literal sense. That means taking on the technical challenges as well as getting a portion of the company in the future. If you would like, you can also drive your own ideas forward and implement them with us. You’ll be working closely with everyone here, which makes it easy to bring change and act on what you believe in. What's in it for you? The question goes back to you: what do you want (with common sense or not)? Some people value fixed salaries, pensions, and stability. Others want a bigger share of the pie and are ready to share the risks. Let’s talk that through. One thing is certain—we’ll make sure you find your “it,” whether that’s with us in-house or with our clients. We’ll shape the role to fit both your needs and ours. The good thing? You will be surrounded by people who are technically savvy, giving you plenty of opportunities to teach and learn. And if not technically, then perhaps in entrepreneurship. We know - it’s a lot of questions. That’s why we have interviews, right? Who are you: At least 5 years of hands-on experience building, owning, and operating production-grade data pipelines in complex, data-intensive environments Strong experience designing and evolving batch-based ETL / ELT pipelines that power externally facing analytics products and dashboards used at scale Proven ability to transform raw event- and transaction-level data into trusted, business-critical KPIs, including funnel metrics, performance indicators, and customer insights Deep expertise in Python and advanced SQL, with a strong focus on analytical queries, feature engineering, and correctness at scale Experience automating and standardizing reporting workflows, replacing manual or semi-automated processes with robust, maintainable data products Strong understanding of data modeling, schema evolution, metric definitions, and data quality in analytical data warehouse environments Hands-on experience optimizing SQL-heavy pipelines, removing unnecessary transformation layers, and improving end-to-end data efficiency Experience collaborating closely with Product Analytics, Data Modeling, and Product Engineering teams to translate business needs into scalable technical solutions Familiarity with workflow orchestration and dependency management using tools such as Airflow (or equivalent schedulers) Experience working with batch and ELT-style pipeline patterns in modern data platforms Solid hands-on experience with AWS (e.g. S3, Redshift, IAM) and analytical data warehouses such as Redshift or similar Experience with CI/CD and production deployment best practices for data systems (e.g. Jenkins, Git-based workflows) Ability to take strong ownership of mission-critical data products, with a clear focus on reliability, scalability, and long-term maintainability Interest in building data platforms that go beyond reporting — enabling trend analysis, behavioral insights, performance measurement, and data-driven recommendations Experience from fintech, payments, or other regulated environments is a strong plus Strong analytical mindset, problem-solving skills, and the ability to clearly communicate complex data concepts to both technical and non-technical stakeholders Experience with basic front-end or visualization technologies (e.g. React) is a nice-to-have Fluent in English and Swedish SwedQ culture SwedQ began with siblings who brought in people they knew. Those people recommended friends, and from there, the company grew further through open head-hunting. Over time, we’ve built a diverse team with different backgrounds, experiences, and insights. We made sure to amplify this diversity by embracing independence and accountability while driving value-creating work. At the same time, we make sure to have fun—with epic football tournaments, unforgettable trips, and great dinners. Perks & Benefits Competitive salary—you decide your preferred salary model Budget to spend on health and gym Generous developer budget Monthly payments into your additional pension fund Private health insurance Private healthcare Office in the city – a stone’s throw from public transport and lunch restaurants Breakfast in the SwedQ office EVERYDAY Support for open-source projects and community engagement Kick-ass colleagues and mentors at every corner Company car (or car allowance) Benefits to make life easier—home cleaning, childcare, and more

Bygg datadrivna lösningar Är du en Data Engineer som vill arbeta med moderna dataplattformar, molnteknik och avancerad analys, samtidigt som du har balans i vardagen? Hos Knowit i Östersund får du arbeta nära både teknik och verksamhet i uppdrag som bidrar till ett mer hållbart och digitalt samhälle. Om rollen som Data Engineer på Knowit Som Data Engineer hos Knowit i Östersund arbetar du med att designa, utveckla och förvalta datalösningar för kunder inom både privat och offentlig sektor. Du blir en del av tvärfunktionella team där samarbete, kunskapsdelning och teknisk kvalitet står i fokus. Du arbetar ofta i miljöer där Azure, SQL, Python och Databricks är centrala delar av lösningen, och där datadrivna beslut, AI och analys skapar konkret affärs- och samhällsnytta. Dina huvudsakliga arbetsuppgifter inkluderar: Design och utveckling av skalbara och robusta dataplattformar Bygga och optimera data pipelines för insamling, transformation och tillgängliggörande av data Arbeta med strukturerad och ostrukturerad data i molnbaserade miljöer, främst i Azure Samarbeta med utvecklare, analytiker och arkitekter för att skapa långsiktiga lösningar Säkerställa datakvalitet, prestanda och tillförlitlighet enligt best practices Vår teknikstack / verktyg och metoder Kod & Script: Python, SQL Molnplattformar: Azure, AWS, Google Cloud Dataorkestrering & ETL: Dagster, DBT, DLT, Docker, DuckDB, Kubernetes Lagring & Data Lake: Databricks, MinIO, LakeFS, Snowflake DevOps: CI/CD, Infrastructure as Code (IaC) Vi är teknikagnostiska i grunden och uppmuntrar dig att vara med och påverka val av verktyg och arbetssätt. Hos Knowit finns stort fokus på kontinuerligt lärande och kompetensutveckling. Vem söker vi? Vi söker dig som har erfarenhet av rollen som Data Engineer och som trivs i en miljö där teknik möter verksamhet. Du har god vana av att arbeta med SQL och Python, molnlösningar och dataplattformar, gärna i Azure och Databricks. Som person är du nyfiken, lösningsorienterad och gillar att samarbeta. Du tar ansvar för din leverans, delar gärna med dig av din kunskap och har ett genuint intresse för data, analys och ny teknik, inklusive AI och automatisering. Vad erbjuder Knowit i Östersund? Hos Knowit i Östersund blir du en del av ett lokalt team med stark gemenskap och nära samarbete, samtidigt som du får tillgång till styrkan i ett stort nordiskt konsultbolag. Här arbetar du med spännande och meningsfulla uppdrag där teknik används för att skapa verklig nytta, både för kunder och samhälle. Vi erbjuder flexibla arbetsformer med möjlighet till hybridarbete och lägger stor vikt vid balans mellan arbete och privatliv. På Knowit finns ett tydligt fokus på hållbarhet, långsiktig kompetensutveckling och kunskapsdelning, vilket ger dig goda möjligheter att växa i din roll som Data Engineer och utvecklas vidare inom organisationen.

YOUR MISSION AT VOI As a Senior Data Platform Engineer in Voi’s Platform team, you will help shape the data platform and cloud infrastructure that enables all our data and engineering teams to succeed. While your primary focus will be on the data platform, you will work across both data and infrastructure concerns, ensuring they fit together into a coherent, secure and scalable environment. You will work with modern cloud‑managed services and open‑source solutions to support the micromobility revolution, where we operate over 150K connected vehicles across Europe. Your work will improve reliability and security, making it easier for teams to build safe, data‑driven products for our riders and cities. In this role you will: Improve our data platform in areas such as reliability, data security and access control, cost optimisation, observability and future architecture. Take shared ownership of the core data platforms used across Voi - keeping them secure, performant and easy to use for product, analytics and backend teams. Drive our journey towards self‑serve data by enabling teams to build and run their own data pipelines and models on top of the platform. Collaborate with engineers across backend, data, machine learning, web, mobile and IoT to solve cross‑domain problems. Automate data infrastructure operations, security configuration, monitoring, and cloud identity and access management – strengthening observability for data pipelines and platforms. Our data and cloud tech stack includes Snowflake, dbt, Airflow, Metabase, Steep, Streamlit, GCP, Terraform, Golang, GitHub Actions, ArgoCD, Grafana, Prometheus, Mimir, Synq and Google Cloud Monitoring. WHAT YOU NEED TO EMBARK You enjoy building reliable platforms that help others do their best work, and you value learning, sharing and collaboration. You communicate clearly, are comfortable in a small, cross‑functional team, and are happy to grow into parts of the stack you do not yet know. We believe the right person has:  Strong experience with cloud-based data platforms (Snowflake, BigQuery, Redshift, Databricks or similar) and an ability to understand and work with modern data architectures. Strong Python and SQL skills, and experience working closely with analytics, data science or data engineering teams. Experience with cloud‑native infrastructure (GCP or equivalent) and IaC tools (we use Terraform) is a strong plus. Experience with CI/CD for multiple teams and services, and with logging, monitoring and alerting (we use OpenTelemetry, Grafana, Prometheus, Mimir and Google Cloud Monitoring), with interest in observability for data pipelines and platforms. Don’t meet every requirement? If you are excited about this role and our mission, and have relevant, transferable skills, we encourage you to apply – even if you don’t check every box. WHY VOI? Working at Voi is more than just a job; our People Promise includes a personal voyage where you will grow as a professional and be part of a team and culture that builds something meaningful for society. In addition to this you’ll have the opportunity to: Join Europe’s #1 micromobility operator and one of the fastest growing scale‑ups. Get “skin in the game” through our employee options programme. Enjoy unlimited free Voi rides and a dog‑friendly office. Work together with inspiring, motivated and supportive colleagues towards a common goal. Help create sustainable cities made for living, free from noise and pollution.

Professional Galaxy is an IT and technology consulting company that provides highly specialized expertise in IT, software development, SAP, purchasing, electronics and mechanical design. We collaborate with experienced senior experts and deliver strategic value-creating expertise to some of Sweden's most complex and analytically demanding projects. Our focus is always on high quality, professionalism and clear, measurable results. Are you the right person for the assignment, or do you want to recommend a strong candidate? Do not hesitate to contact us. Feel free to apply today, selection and interviews take place on an ongoing basis. Professional Galaxy is looking for a Data Engineer on behalf of our client. Beskrivning We are looking for a senior data engineer who will work in a BI & Analytics project within HVIA AMT Analytics area. This person should be able to understand business stakeholders and translate their needs into technical solutions. Must have - Sound data engineering background – 10+ years of experience - Solely implemented data engineering pipelines for data processing, data transformation - Set up Azure DevOps in project from start till end, with strong focus on configurations, setting up pipelines, releases, deployments, hotfixes - Expert in Databricks development and operations - Coding skills in SQL, python, pyspark, Scripts - Have worked in different BI projects with good data modeling background – 5+ years of experience in BI projects: good business understanding, data modeling - API integration & system integration - Ability to connect AI models with systems. - Agile mindset - Working experience with Git, DevOps - Active collaborator, should be transparent and to have good engagement with team - Experience to handle multiple projects in parallel - Good team player and good communication skills - Able to work on-site in our offices in Gothenburg - English mandatory Good to have - Automation experience - Power BI background Need the candidate with strong Data Engineering background and deep hands-on experience on Azure Ecosystem, Databricks, Sql and their DevOps cycle. Having Power BI experience is a plus. We need the resource physical available with the business stakeholders in Gothenburg, Sweden for effective collaboration and communication. The requirement is immediate to HVIA within AMT analytics stable team. Other Information : Start Date : 2026-02-17 End Date : 2027-06-30 Application Deadline : 2026-02-16 Please apply directly through our system with: - Your updated CV - Availability to start the assignment In the motivation, describe why you are suitable for this assignment - refer to previous consulting assignments, employment, education and personal qualities. Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid.     Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.