
Stegra · Stockholm
Studies show that women and underrepresented groups often hesitate to apply unless they meet every requirement. At Stegra, we’re building an impact-driven, sust...
Studies show that women and underrepresented groups often hesitate to apply unless they meet every requirement. At Stegra, we’re
building an impact-driven, sustainable company - and we need a diverse, inclusive team to make it happen.
If you share our passion but don’t meet every qualification, we encourage you to apply anyway. You might be the perfect fit for
this role, or another as we grow.
At Stegra, we’re not just building a plant, we’re proving that sustainable industry is possible. And to do that, we need people
like you.
Join a team where safety comes first. Where we support each other, learn as we go, and make space for everyone to grow and
contribute. This is your chance to be part of something big - while being closer to nature and leading a balanced, purposeful
life.
What you’ll do
We are building a next-generation steel plant - and data is a core part of how we operate, optimize, and scale. We believe the
best data solutions are created close to the business, by teams who understand both the context and the technology. We are now
looking for a Data Engineer to join our Digital Domain supporting Finance and HR. In this role, you will work at the intersection
of business and technology - helping shape how data is modeled, shared, and used to drive decisions across the organization. You
will be part of a cross-functional team where business experts, analysts, and developers collaborate closely.
Together, you will build data products that are reliable, understandable, and designed to be reused across the company - not just
for a single use case. At the same time, you will contribute to how we build our data platform and ways of working. We aim to
continuously evolve - adapting to new technologies, improving how we design data, and staying aligned with modern best practices.
You will also take a leading role in facilitating the data platform roadmap - aligning needs across domains, shaping priorities,
and ensuring progress on key initiatives.
improving how we work with data across teams - leading and driving improvements to platform capabilities, standards, and
patterns
and shaping metrics and semantics for usability
What you’ll bring
You enjoy solving real problems and are motivated by building data solutions that are actually used. You are curious about how
data platforms should be designed — and how those designs need to evolve as technology and business needs change.
analytics and optimization
Benefits at Stegra
At Stegra, you’ll join a company where your work has real impact on the climate, the industry, and future generations. We’re
building a culture rooted in safety, trust, and inclusion, where people feel supported to grow and thrive.
Read more about Benefits at Stegra here.
understanding of our digital ecosystem.
all the way from need to implementation and iteration.
solutions create real value in their day-to-day operations.
This is Stegra
Stegra is on a mission to change the global steel industry by producing green hydrogen, iron, and steel - with the goal of
eliminating CO₂ emissions. Instead of coal, we use green hydrogen and fossil-free electricity, meaning our primary emissions will
be water and heat.
By 2030, our ambition is to produce 5 million tonnes of green steel annually in our fully integrated, digitized, and sustainable
plant in Boden, Northern Sweden - currently under construction. But this is just the beginning. Our expertise in green hydrogen
will enable us to decarbonize industries beyond steel, paving the way for a cleaner future.
Our Stockholm Office
Our modern Stockholm office is located on Norra Stationsgatan, close to Karolinska University Hospital in central Stockholm. Here,
you’ll find a bright, collaborative workspace where cross-functional teams connect, share ideas, and drive progress. Whether
you're visiting regularly or working hybrid, you'll be part of a vibrant office culture with easy access to the city’s energy and
amenities.
Vill du vara med och forma framtidens hållbara logistik? Som erfaren Data engineer inom Green Cargo får du en nyckelroll i att säkerställa effektiva och innovativa lösningar som håller Sveriges godstransporter rullande. Här får du möjlighet att kombinera teknik, samarbete och strategiskt tänkande i en verksamhet som gör skillnad. Om rollen Du kommer vara en viktig del av vårt agila team som utvecklar och förvaltar Green Cargos analyticsplattform som baseras på primärt Microsoft Azure teknologi. Analytics teamet är spindeln i nätet när det kommer till datainsamling och datahantering. Ditt uppdrag kommer att innebära samarbeten med andra utvecklingsteam samt verksamhetsfunktioner för att förstå behovet. Vi erbjuder Arbeta i en innovativ och transformativ IT-miljö med modern teknik Vara del av ett agilt team med stark kompetens inom analytics Delta i internationella projekt med fokus på datadrivna lösningar Flexibla arbetsformer och goda möjligheter till kompetensutveckling Samarbete med engagerade kollegor som vill göra skillnad BI-utveckling i modern molnmiljö (Azure) Datamodellering och databasutveckling Kravanalys av komplexa dataflöden Utveckling och vidareförädling av dataprodukter Vi söker dig som 3-5 års erfarenhet av Data Engineering och/eller BI-utveckling Erfarenhet av Datamodellering (t ex Kimball eller liknande) Erfarenhet av att jobba med Databricks Erfarenhet av SQL Har en eftergymnasial utbildning inom Systemvetenskap eller liknande Talar och skriver obehindrat på svenska och engelska då arbetsuppgifter kräver det Meriterande Erfarenhet av agila arbetssätt. Erfarenhet av att arbeta med Microsoft molnplattform eller Google Cloud Plattform Erfarenhet av dataintegrationer Övrig information Anställningen är en tillsvidareanställning på heltid med inledande provanställning. Tillträde sker enligt överenskommelse och tjänsten är placerad vid vårt huvudkontor i Stockholm. Som anställd på Green Cargo erbjuds du bland annat: Friskvård kr 3000 kr/år Benify förmånsportal Frivillig gruppförsäkring via Skandia för dig och din familj Ersättning för Läkarvård inom högkostnadsskyddet Föräldralöneutfyllnad (10%) På Green Cargo får du möjlighet att bidra och utveckla hållbar järnvägslogistik och samtidigt förbättra kundupplevelsen. Du blir en del av ett miljömedvetet företag som stöttar svenskt näringsliv och industri. Som Data Engineer erbjuds du en bred roll med stort utrymme att påverka och tänka nytt. Vi satsar på din utveckling och erbjuder goda möjligheter till både kompetens- och karriärutveckling i en organisation där trivsel och stolthet står i fokus. Rekryteringsprocessen Slutkandidater genomgår en bakgrundskontroll. Vi är en drog- och alkoholfri arbetsplats där slumpmässiga kontroller förekommer. Med anställning följer en skyldighet att krigsplaceras. Mångfald och inkludering Green Cargos medarbetare är nyckeln till att vi ska kunna nå bolagets vision om järnvägslogistik i världsklass och det är medarbetarnas kompetens och ambition som driver bolagets framgång. Vi ser att olikheter bland våra medarbetare stärker vår konkurrenskraft och bidrar till vår affär och vår utveckling. Vi vill därför ha en arbetsplats präglad av mångfald och välkomnar sökanden med olika typer av kompetenser, personligheter, bakgrunder, erfarenheter och perspektiv. Varmt välkommen med din ansökan!
Soho, London Hybrid working: 3 days in the office Tues - Thurs The Role We are seeking a Data Engineer to join our Data Team, playing a vital part in building the complex, scalable systems that power our data strategy. You will contribute to architectural discussions and deliver high-quality data solutions that bring millions of fans closer to the sports they love. This is a fantastic opportunity to develop your expertise in optimising data platforms for real-time AI/ML workloads, collaborate with experienced engineers, and make a significant impact on our business. At LiveScore Group, we’re the proud home of three of the most exciting brands in the sports and gaming world: LiveScore, LiveScore Bet and Virgin Bet. A fully owned and operated ecosystem that converges the two worlds of sports media and sports betting. We’re proud of the high ratings for our commitment to excellence and fueling fan’s passion for sport driving us to the top. We don’t just lead; we innovate. Our cutting-edge products and immersive experiences set the standard, but it’s our people who truly make the difference. Every day, our team embody our values: adaptability, teamwork, a fan-driven approach, and an ever-curious mindset that fuels our ambition. As we scale and continue to create a culture that allows all employees to thrive, we know we need the most talented people with diverse backgrounds, perspectives and skills. If you’re good at what you do, come and join us. The more inclusive we are, the more amazing experiences we can create for our users. We know that job descriptions can sometimes seem daunting, and you might not feel you tick every box. But, if you’re passionate about the role and have relevant experience, we want to hear from you! Key Responsibilities * Develop and deploy robust data pipelines using GCP services such as BigQuery, Dataflow, Pub/Sub and Cloud Storage. This includes integrating data from various sources, ensuring data quality and enabling real-time processing capabilities. * Design data models and manage databases effectively to support business analytics and intelligence using dimensional data-modelling principles. Use GCP database technologies such as Bigtable, Spanner or Firestore to optimise performance and scalability. * Automate data workflows and optimise data storage and processing costs within GCP. Use tools such as Cloud Composer for orchestration and apply best practices in performance tuning. * Ensure data security by implementing GCP security practices. Manage access controls, comply with data-governance policies and safeguard sensitive information. * Work closely with data engineers, business analysts, and IT teams to define data requirements and deliver comprehensive data solutions. * Stay up to date with the latest GCP features and data-engineering technologies. Explore ways to enhance data infrastructure and contribute to the development of new data products. * Provide second-line support for pipeline failures or data quality incidents and perform fault analysis to resolve issues. * Contribute to system-design decisions and help develop data solutions that support real-time workloads. * Partner with cross-functional teams to translate business needs into effective data solutions. * Design data systems that solve problems and improve reliability & cost-effectiveness. * Develop and maintain robust, secure integrations with core internal systems and third-party platforms. * Implement monitoring and alerting to ensure high system reliability and minimal downtime. Skills, Knowledge and Experience * Experience in data engineering or data warehousing with large-scale, complex datasets. * Experience writing complex SQL queries. * Experience with Python or a similar programming language, with the ability to turn business requirements into working solutions. * Experience with cloud data services and technologies, ideally within the GCP ecosystem, such as Dataflow, Pub/Sub, BigQuery or Vertex AI. * Experience with Airflow environment management and Docker. * An interest in contributing to the AI roadmap and experimenting with AI tooling, including coding agents, within the development lifecycle. * The ability to explain technical concepts clearly and concisely to technical and non-technical stakeholders. * Experience developing and optimising real-time and large-scale batch data-processing frameworks. * Experience deploying and maintaining data infrastructure using Infrastructure as Code principles and tools such as Terraform. * An understanding of data-governance, privacy and security best practices in a regulated environment. * A proactive and curious approach to identifying and resolving system inefficiencies. * The ability to work effectively with cross-functional teams and translate requirements into robust data solutions. * A strong sense of responsibility for the quality, reliability and performance of the data solutions you help create. What can we offer? * Company Performance Bonus * Flexible Working Agreements where applicable * Private Healthcare Scheme + Employee Enhanced Assistance * Enhanced Family Leave - Maternity, Shared Parental & Adoption Leave: up to 6 months at full pay and 6 months at half pay. Paternity leave: up to 4 weeks at full pay * Subsidised Gym Membership * Annual Travel Card Loan & Ride to Work Scheme * Life Assurance (x3 salary) * Contributory Pension Plan * Virgin Family: Giving you access to exclusive Virgin offers and experiences * Thursday drinks in the office and regular socials
What you’ll do Own the global UW tables (canonical facts/dimensions for applications, decisions, features, repayments, delinquency) with clear SLAs for freshness, completeness, accuracy, and data lineage. Design for AI-agents and humans: consistent IDs, canonical events, explicit metric definitions, rich metadata (schemas, data dictionaries), and machine-readable data contracts. Build & run pipelines (batch + streaming) that feed UW scoring, real-time decisioning, monitoring, and underwriting optimization. Instrument quality & observability (alerts, audits, reconciliation, backfills) and drive incident/root-cause reviews. Partner closely with Credit Portfolio Management, Policy teams, Modeling teams, and treasury and finance teams to land features for RUE and consumer-centric models, plus regulatory and management reporting. Tech stack (what we use) Languages: SQL, PySpark, Python Frameworks: Apache Airflow, AWS Glue, Kafka, Redshift Cloud & DevOps: AWS (S3, Lambda, CloudWatch, SNS/SQS, Kinesis), Terraform; Git; CI/CD What you’ll bring Proven ownership of mission-critical data products (batch + streaming). Data modeling, schema evolution, data contracts, and strong observability chops. Familiarity with AI/agent patterns (agent-friendly schemas/endpoints, embeddings/vector search).