Senior Data Operations Engineer at Vattenfall | Solna

Jobgether is looking for a Senior Data Engineer based in Sweden. This position centers on developing and maintaining the systems that power data-driven decisions across the company. Role overview The Senior Data Engineer will design, build, and support scalable data pipelines and databases. The work directly impacts how data is collected, processed, and made…

Join Our Innovative Team at LegoraAt Legora, we are revolutionizing the legal industry. Our mission is to transform how legal professionals work, not just by providing tools for them but by collaborating closely with them to ensure our solutions meet their needs.Our AI-driven workspace enhances efficiency and empowers legal experts to ask the right questions and gain valuable insights. We are at the forefront of legal technology, streamlining complex processes and making them more intelligent and user-friendly. With our technology, thousands of documents can be analyzed within minutes, and workflows are crafted in collaboration with top legal practices.Trusted by global firms such as Cleary Gottlieb, Goodwin, Bird & Bird, and Linklaters across over 40 countries, we are committed to rapid development and scaling. We thrive on quick iterations and strategic design, ensuring we continually push the boundaries of what's possible in legal tech.Joining Legora means being part of a team that refuses to settle for mediocrity. We believe that together we can empower lawyers to excel in their work using technology that truly understands their needs. If you are passionate about innovating from the ground up, collaborating with outstanding colleagues, and driving change in a high-stakes environment, this is your opportunity.Are You Ready to Help Define the Future of Legal Tech?As our Senior Data Engineer, you will take full ownership of our data platform, overseeing everything from the underlying infrastructure to the data pipelines that support our analytics and product teams. This position goes beyond mere maintenance—you will be responsible for shaping the architecture, setting operational standards, and creating a data platform that is fully automated and easily manageable.Collaboration is key. You will work closely with analytics engineers, product teams, and Revenue Operations to ensure seamless data availability and accessibility, eliminating the need for ticket submissions for data retrieval.Your ResponsibilitiesLead the development and upkeep of our core data infrastructure, including the data warehouse, data lake, orchestration, observability, and governance frameworks.Design and implement scalable data pipelines that serve the needs of various stakeholders across the organization.Ensure data integrity and reliability, enabling teams to access the information they need seamlessly.

Join Vattenfall as a Senior Data Engineer, where you will play a key role in our mission to enable a sustainable future. As part of our dynamic Business Support department, you will leverage your expertise to design, develop, and maintain data pipelines that empower data-driven decision-making across the organization.In this role, you will collaborate with cross-functional teams to gather requirements, implement data solutions, and ensure the reliability and quality of data flows. Your proficiency in modern data engineering practices will be crucial as you contribute to innovative projects that support our business objectives.

Join our innovative team at Devoteam Creative Tech as a Senior Data Engineer. In this role, you will leverage your expertise in data architecture and engineering to design and implement robust data solutions. Collaborate with cross-functional teams to drive data-driven decision-making and enhance our client offerings.

Role Overview AECOM is hiring a Senior Data Coordinator in Stockholm. This position focuses on managing data-driven projects and working closely with multidisciplinary teams. The goal: improve operational efficiency and maintain strong data integrity across the organization. What You Will Do Oversee and coordinate data projects from planning through execution Collaborate with teams from various disciplines to streamline processes Monitor and maintain data systems to support company objectives Help ensure data accuracy and consistency throughout the organization Location This role is based in Stockholm.

Join Sopra Steria as a Data Engineer in Gothenburg, where you will play a crucial role in managing and analyzing data to drive insights and support decision-making processes. You will collaborate with cross-functional teams and utilize cutting-edge technologies to develop data solutions that enhance our service offerings.

Join our dynamic team at Sopra Steria as a Data Engineer in Östersund, where you will play a pivotal role in transforming raw data into actionable insights. We are looking for innovative and analytical thinkers who are not afraid to tackle complex data challenges.

airapps is looking for a Data Engineer in Stockholm to help turn raw data into reliable insights. This role centers on building and maintaining data pipelines that support the company’s decision-making and operations. What you will do Design and implement data pipelines to move and process information efficiently Maintain existing data systems to ensure smooth operation Monitor and uphold data integrity and quality across platforms Role overview This position suits someone who enjoys working with data and wants to grow their skills in a collaborative setting. The work involves both hands-on engineering and attention to data accuracy. Location This Data Engineer role is based in Stockholm.

Cerve develops the data infrastructure that supports the €10 trillion food and beverage supply chain. The company’s platform provides supply chain intelligence, helping the industry improve margins, cut waste, and address food security and foodborne illness challenges at scale. Role overview The Data Engineer at Cerve focuses on designing, building, and refining data products that drive the platform’s capabilities. This position collaborates closely with Engineering and Product teams to deliver scalable, efficient solutions, including data processing pipelines and retrieval systems for agent-facing features. What you will do Data ingestion and transformation: Build and maintain pipelines to convert unstructured real-world data into structured, usable formats. Architecture decisions: Make hands-on architectural choices across platforms such as Cloud Spanner, GCS, and Cloud Run, balancing cost, performance, and scalability. Agent and LLM infrastructure: Develop retrieval systems and data layers that support agent-facing functionality. Collaboration: Work with product and engineering teams to translate customer needs into deployed features, focusing on impactful, efficient solutions. Code quality: Write clean, well-tested code and help raise quality standards as the team grows. Observability and reliability: Set up comprehensive monitoring for data pipelines and systems to ensure reliability and data quality. Who you are Entrepreneurial spirit: Comfortable working in a startup environment, bringing initiative and follow-through to projects. Systematic thinker: Able to see the big picture while managing key details to deliver effective solutions. Location This position is based in Sweden.

Join our dynamic team at Databricks as a Senior Solutions Engineer, where you will leverage cutting-edge technologies to deliver innovative solutions for our clients. You will play a critical role in driving customer success and helping businesses harness the power of data.

TL;DR - We are seeking talented Data Platform Engineers to architect, construct, and sustain our comprehensive declarative data platform, facilitating seamless data ingestion, transformation, and utilization across Lovable. Your passion for empowering teams will drive you to ensure our data systems are scalable, reliable, secure, and user-friendly.Why Join Lovable?At Lovable, we democratize software development, enabling anyone – from solo entrepreneurs to Fortune 100 firms – to transform their ideas into tangible products swiftly. We are leading a groundbreaking evolution in software creation, offering you a unique chance to reshape the digital landscape. With over 2 million users across 200+ countries, Lovable empowers individuals to launch businesses, automate tasks, and manifest their visions. And this is just the beginning.Our tight-knit, highly skilled team is dedicated to building a pioneering company from our base in Stockholm. We prioritize extreme ownership, rapid execution, and collaborative spirit. We seek individuals who are genuinely passionate, thrive on fast-paced delivery, and are eager to make a significant impact.Your Role:Design and maintain our core data infrastructure, including data lakes, warehouses, orchestration, observability, and governance.Collaborate with various platform and domain teams to architect data pipelines and implement declarative configurations for ingestion and transformation.Ensure that data quality, lineage, and security standards are integrated into all workflows.Work alongside Analytics Engineers to establish modeling conventions and enforce schema governance.Implement CI/CD pipelines for data systems while assisting with cost optimization and performance enhancements.Define best practices for our data platform and support ongoing initiatives.

Join our dynamic team at Sopra Steria as a Data Engineer in Stockholm! We are seeking a talented individual who is passionate about data and eager to contribute to impactful projects. This role involves designing, developing, and maintaining data pipelines, ensuring data quality, and supporting analytics initiatives to drive business insights.

About the Role Sopra Steria is looking for a Data Engineer to join the team in Malmö. This role focuses on designing and building data solutions that support business goals. The work involves close collaboration with colleagues from different areas to shape and improve the company’s data architecture. What You Will Do Design and implement data pipelines Work with cross-functional teams to optimize data architecture Ensure data solutions are efficient and scalable Location This position is based in Malmö.

Join Our Team as a Senior Analytics EngineerAt Legora, we are committed to revolutionizing the legal industry. Our innovative approach involves collaborating with legal professionals to create solutions that truly meet their needs. We believe that by working alongside lawyers, we can ensure that our technology is effective and efficient.Our AI-driven platform enables legal experts to enhance their workflows, allowing them to ask insightful questions and derive valuable insights. By optimizing complex processes, we empower legal teams to work smarter and faster. Our cutting-edge technology is trusted by leading global firms across 40 countries, and we are just getting started.As part of our team, you will be surrounded by individuals who strive for excellence and believe that collaboration is key to success. If you are passionate about innovation and eager to make a significant impact in the legal tech space, we would love to hear from you!

Legora develops an AI-driven workspace tailored for legal professionals, aiming to streamline complex legal processes and introduce new approaches to legal work. The platform enables rapid document analysis and intelligent workflow creation, all built in collaboration with leading law firms. Legora’s technology is trusted by organizations such as Cleary Gottlieb, Goodwin, Bird & Bird, and Linklaters, reaching clients in more than 40 countries. The company is known for quick development cycles, thoughtful product improvements, and steady strategic growth. Role overview Based at Legora’s Stockholm headquarters, the Senior Analytics Engineer - Finance will take ownership of the data infrastructure that drives financial operations. The focus is on designing and maintaining the financial data framework, supporting critical reporting metrics such as ARR, retention, unit economics, cash flow, and insights for the board. Consolidating data from billing, CRM, and product systems into a single, dependable foundation is a core part of this position. This role works at the intersection of Finance, Engineering, and Analytics. Close collaboration with Finance and Go-To-Market leaders ensures direct impact on forecasting, planning, pricing, and high-level reporting as Legora scales. Main responsibilities Design, build, and maintain data pipelines and warehouse models for financial and business reporting, including revenue, ARR, NRR, churn, CAC, LTV, pipeline metrics, and profit margins. Collaborate with cross-functional teams to ensure data integrity and deliver insights that support strategic decisions. Use advanced analytics methods to interpret complex data sets and help achieve Legora’s growth goals.

MissionAt Neko Health, we are dedicated to transforming the healthcare landscape from a focus on treating illness to prioritizing prevention. By leveraging state-of-the-art, non-invasive technology alongside clinical expertise, we aim to provide early and actionable health insights.Founded in 2018 by Hjalmar Nilsonne and Daniel Ek, Neko Health is a pioneering Swedish healthcare technology firm. Our mission is to revolutionize healthcare by shifting from reactive treatments to proactive health measures and early detection. Achieving this requires a complete rethinking of the patient experience, integrating the latest advancements in sensors and artificial intelligence. Our innovative medical scanning technology enables comprehensive and non-invasive health data collection, offering convenience and affordability for everyone. With a team of over 500 employees, we deliver the Neko Body Scan experience at locations in Stockholm, London, and Manchester.The RoleWe are seeking a Data Engineering Functional Lead (DE FL) to join our Data & AI leadership team and play a crucial role in propelling Neko’s AI vision and strategic execution. This pivotal position will guide the development and scaling of our AI and analytics capabilities across the organization. Key responsibilities include enhancing our data infrastructure and systems that cater to the needs of Data Science and Data Analytics, thus enabling efficient delivery of data-driven products and insights at scale.What You’ll Deliver in the First 6–12 MonthsEstablish and execute Neko’s Data Engineering strategy, crafting a long-term vision for our data infrastructure that positions us at the forefront of preventative health.Design and scale data systems for large-scale ingestion, addressing multi-regional needs, storage, and data modeling, thereby delivering a platform that supports our Data Science and Analytics teams.Implement clear workflows and common tools across engineering, facilitating efficient communication and alignment that enhances delivery speed and cross-functional integration.Develop a data platform that supports responsible AI by embedding principles of fairness, privacy, explainability, and compliance into our operations from day one.Contribute actively to key deliverables while balancing current execution with future architectural needs, establishing a benchmark for technical excellence across the organization.

Join AFRY as an Electrical, Telecommunication, and Data Project Engineer in Gothenburg, where you will play a pivotal role in designing and implementing innovative solutions for our clients. You will collaborate with a dynamic team to ensure that projects are executed with precision and excellence. This is an excellent opportunity to enhance your skills in a supportive and forward-thinking environment.

Join AFRY as an Electrical, Telecommunication, and Data Project Engineer, where you will play a pivotal role in designing and implementing innovative electrical and telecommunication solutions. Collaborate with a dynamic team of professionals to deliver high-quality projects that meet client needs and industry standards.

MissionAt Neko Health, we are dedicated to revolutionizing healthcare by prioritizing prevention over treatment. Using state-of-the-art, non-invasive technology combined with clinical expertise, we provide early, actionable health insights.Role OverviewWe are on the lookout for a talented Senior Data Analyst to spearhead the development of analytics capabilities and frameworks throughout our organization. You will design and implement data models utilizing our modern technology stack, including dbt, Azure Databricks, and Power BI. This position requires collaboration across Finance, Medical Excellence, Product, and six additional business units, facilitating data-driven decision-making across the company. Your responsibilities will include creating our definitive source of truth, implementing self-service analytics, and establishing data quality standards as well as governance frameworks. You will work closely with a diverse range of stakeholders—from medical professionals to operations teams and backend engineers—converting complex health data into actionable insights that promote clinical decision-making and operational excellence. Our data team, comprising analysts, scientists, and engineers, thrives in a remote-first culture, with our Stockholm office serving as a collaborative hub.What You Will Achieve in Your First 6–12 Months• Standardize core business metrics and KPIs across the organization, ensuring a unified source of truth that empowers all teams to make informed, data-driven decisions (Member-first focus).• Create and maintain centralized, governed BI dashboards and reports using our modern stack, delivering clear and actionable insights across Finance, Medical Excellence, Product, and beyond (Tech-enabled, human-centered).• Collaborate with data engineering to establish data quality standards, ownership frameworks, and lineage tracking in Unity Catalog, building governance that scales with our business (Embracing hard truths with high hopes).• Develop scalable, reusable data models in SQL, Python, and dbt in close partnership with business stakeholders, transforming ambiguous challenges into well-defined analytical solutions (Aiming for 10X impact, not just 10%).• Lead initiatives to enhance data literacy throughout the organization, enabling teams to become more self-sufficient in their analytics and fostering a culture of evidence-based decision-making.• Create and document data contracts and self-service analytics capabilities, ensuring quality is upheld as access and usage expand across the company.