AI & IT Operations Engineer (Interim)

EnginZyme AB

At Enginzyme, we’re pioneering biomanufacturing by combining the power of enzymes, process engineering, and an automated smart lab. We are seeking an IT & Software Engineer to join our team with a 50/50 split in maintaining our IT infrastructure and developing the software that powers our smart lab and data pipelines. The role has a natural home in two parts of the company. On the IT side, you'll work closely with Operations, keeping our systems secure, reliable, and fit for purpose. On the software side, you'll be embedded in R&D, building the smart lab and tools that turn operational data into insight researchers can act on. We've deliberately built a lean, largely self-hosted IT system with minimal reliance on cloud and SaaS. It's a considered choice as we value the control, simplicity, and predictability it gives us. We're looking for someone who'll appreciate working within that framework rather than an over-reliance on external tools. You will work closely with colleagues in biochemistry, process engineering, lab automation, and operations in a collaborative environment. This is a hands-on, multidisciplinary role suited to someone who enjoys solving technical problems across the whole stack. From provisioning hardware and managing networks to designing clean, dependable data pipelines. If you want to use your expertise in tech to help the global transition toward sustainable, bio-based solutions, this is your next challenge. Note: the role is situated on site at our office in Solna, Stockholm and a valid Swedish work permit is required. Responsibilities IT Maintain onsite server and core IT tools with a focus on reliability and uptime Handle company networking, from day-to-day basics through more advanced configuration (VLANs, firewalls, and routing as needed) Administer SaaS accounts Help maintain good security hygiene across the company Support updates and upgrades to existing lab desktop PCs Software Development Design, build, and maintain data pipelines to support the transformation of experimental data to information Develop and support software for our smart lab from integrating instruments and capturing data to automating workflows Write maintainable, tested code and own features from specification through deployment Work with stakeholders to turn lab and operational needs into working tools Requirements MSc in Computer Science, closely related field, or equivalent demonstrable experience 3+ years working experience with Python, preferably within data analytics Proven experience working with and maintaining Linux-based machines Database experience (PostgreSQL, MySQL, time-series databases, etc.) Experience using Docker to run self-hosted/on-prem infrastructure Fundamental understanding of basic networking Familiarity with the current state of AI for software development Comfortable working independently across a broad range of problems and switching context between operational and development work Solid grip on working with git in a team environment Meritorious Skills Experience working in a scientific lab is highly valued Sys-admin work experience Experience with C or C++ Experience with Grafana, Plotly, or other visualisation software Experience with Benchling or other lab data management software Experience integrating lab instruments, IoT, or hardware via APIs/serial/automation Cloud experience (Google/Cloudflare) About you You're able to work independently, owning a large portion of your work whilst collaborating with stakeholders and team mates to make key decisions You thrive in a small company environment where priorities shift and you'll help define requirements as you go You're pragmatic and resourceful, favouring robust solutions over the latest tech stack You take security and good practice seriously, given the trust the role carries You can explain technical things clearly to non-technical colleagues and turn their needs into working tools Good grip on the English language. If this describes you, you will be an excellent fit for our team. We understand that you might not feel like you 'check all the boxes' as you read this job description. However, if this role excites you and makes you eager to learn, we encourage you to apply regardless. About us/Why Join We are a friendly, multi-cultural, tight-knit group employing 30+ people from more than 15 different countries Join a fast-moving, collaborative, and multidisciplinary team shaping the future of industrial biotech Work in an environment where you are free and encouraged to learn, grow, and take ownership Join a small team of passionate developers with regular company events The opportunity to work across a wide range of R&D projects The company expects to grow over the coming years, so will the stakeholders in their responsibilities and exposure to new challenges Please ensure your application is submitted in English by 23:59 (CEST) on 2nd of August 2026. Applications received through channels other than the official application form will not be considered.

Stegra Boden AB

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. Responsibilities: Design, build, and maintain data pipelines and products that enable Finance and HR to make reliable, data-driven decisions Work closely with business stakeholders and analysts to translate needs into scalable data models and solutions Help structure and expose data so it is consistent, understandable, and reusable across domains · Take an active role in improving how we work with data across teams - leading and driving improvements to platform capabilities, standards, and patterns Enable self-service use of data by making it accessible and usable beyond engineering teams Make thoughtful trade-offs in how data is designed and delivered - balancing batch vs near-real-time, handling historical data, and shaping metrics and semantics for usability Define and promote best practices for data quality, testing, documentation, and access control Explore how modern tooling, including AI-assisted development, can improve how we build, test, and maintain data products Support and coach colleagues in modern data engineering practices 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. We believe you bring many of the following: Several years of experience in data engineering or modern data platform development Experience building end-to-end data solutions (ingestion, storage, transformation, consumption) Interest in contributing beyond your immediate team — shaping shared ways of working, standards, and platform capabilities Strong SQL skills and experience modeling data for analytical use Experience with cloud-based data platforms and infrastructure-as-code Knowledge of engineering practices such as CI/CD, testing, and code review Ability to make sound technical decisions without being tied to specific tools or vendors Interest in areas such as self-service analytics, semantic modeling, temporal data, and data governance Experience working closely with business stakeholders, analysts, or operational teams Strong communication skills and ability to explain technical solutions clearly Nice to have: Experience with, or interest in, industrial/operational (OT) data and how data from physical processes can be used for 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. Here’s what makes this role unique: Breadth, not silos: You’ll work across multiple technical areas - data, architecture, infrastructure and backend - gaining deep understanding of our digital ecosystem. Ownership from day one: You’ll support a specific domain and act as a bridge between operations and tech, and drive solutions all the way from need to implementation and iteration. Close to the action: You’ll collaborate closely with stakeholders, understand their workflows, and ensure your digital 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.

Viaplay Group Sweden AB

At Viaplay Group, we entertain millions of people every day through our streaming services, radio networks, and TV channels. We believe in the power of content not just as a way of telling stories and touching lives, but also expanding worlds.   We’re looking for the best people to join us on our journey. Right now, we’re searching for a Data Engineer in our Stockholm office – are you ready to hit play on an exciting career change?  The role  The Ad Platform Solutions team sits within Viaplay Digital Ad Product, bridging commercial priorities and technical delivery in Viaplay. You will be joining a small, growing team where your work connects directly to how the sales organisation operates every day. As our new Data Engineer, you will play a central role in developing and improving the data infrastructure that powers ad sales across all Viaplay markets. We’ve built a solid foundation that supports our operations today, and we’re now looking for someone to take ownership of it - improving and strengthening what’s already in place, while also influencing architecture and shaping how the platform evolves. This is a hands-on engineering role. In a small team, you will work across the full data lifecycle - from pipeline development and orchestration to data modelling, ensuring the right data reaches the right people. Your day-to-day will include: • Building and maintaining data pipelines that power ad sales reporting and operations across Sweden, Norway, and Denmark • Structuring and modelling data so it is clean, consistent, and genuinely useful to the business • Identifying and resolving issues in existing pipelines, reducing manual work and improving reliability • Translating needs from stakeholders into solid technical solutions • Contributing to architectural decisions as the platform evolves We actively use AI-assisted tools as part of our development workflow to improve efficiency and speed up delivery. We expect engineers to use these tools effectively, while critically evaluating outputs and maintaining full ownership of the systems they build. What we’re looking for  We understand you may feel confident ticking certain boxes more than others and that’s why we always keep an open mind in our recruitment process. But, in order to thrive in this role, we do believe you’ll have at least some experience in the following:  • Solid, production-level data engineering experience - you have done this before and know what good looks like • Strong skills in Python and/or C#, with confident SQL and hands-on database experience, relational databases such as SQL Server and PostgreSQL. • Experience working with cloud-based data platforms, particularly in Azure environments. • Experience building and maintaining data pipelines using orchestration tools (such as Airflow or Meltano), along with a solid understanding of data warehouse principles (e.g. dimensional modelling, data quality, and performance optimisation) • Experience using AI-assisted coding tools (e.g. GitHub Copilot, Claude) in a development workflow • Comfortable working autonomously in a small team, with a strong sense of ownership and the ability to drive work forward without much hand-holding It’s a bonus if you have:  • Experience with ad sales, digital advertising data, or media industry systems • A can-do attitude, sense of humor and the ability to work humbly with others. What we offer you We’ve got you covered! 30 days of paid vacation every year, an attractive pension and insurance scheme, and generous parental leave pay lift. Your wellbeing matters. We provide you with various wellbeing initiatives including wellness allowance. A safe space to grow and up-skill. Our learning culture puts you in the driver’s seat of your own development. Entertainment is what we love, and entertainment is what we do. So, unlimited access to Viaplay seems only fair for you to get to know the product – including series & viewing events, new release movie rentals, linear channels and more. Hit play today  If this feels like your kind of challenge, make sure you apply by attaching your CV here – you may also want to add your LinkedIn profile. Please don’t send us your application via email because we won’t be able to accept it. We do, however, welcome any questions you may have about this particular position.  Want to learn more about who we are and what we do? Check out our careers page or follow us on Instagram! We’re only ever a few clicks away.