REQ# FEQ327R2

Are you a strategic thinker with a talent for solving problems and driving tangible business outcomes?  Do you thrive in roles where you get to obsess over consumer business growth and provide data driven insights? If this sounds like you, then we’d love to chat!

As Strategy & Operations Manager, you are responsible for driving efficient growth by providing data driven support in shaping and optimizing our global growth and marketing strategies. Your focus will be on various consumer topics such as customer acquisition, user activity, user retention, and new verticals adoption, on a global level.

Collaborating closely with Marketing Leadership and various stakeholders across the company, you will have the opportunity to obsess over our consumer growth, identify investment opportunities, and help ensure efficient allocation of spend to maximize our ROI, through rigorous monitoring of our key performance metrics.

Your ability to blend analytical problem-solving with business acumen and creative strategic thinking will be critical in steering our company toward sustained long-term success.

What you’ll be doing

• Collaborate with key stakeholders to drive our Growth and Efficiency OKRs, focusing on areas such as New Customer Acquisition, Retention, User Activity, and Cost Per Acquisition (CPA)
• Evaluate the impact of selected marketing tactics, track our brand performance and develop our marketing funnel strategies (e.g. to improve the awareness and consideration of Wolt)
• Facilitate weekly business review meetings and collaborate daily with Regional Marketing Directors and Regional Heads of Strategy & Planning
• Provide data driven insights for the allocation of our marketing budget across various channels, funnel stages and incentives, both online and offline, in order to optimize the growth of the platform
• Manage global Business Development projects, such as building new investment frameworks and scaling them across the markets
• Lead and coordinate global acceleration initiatives driven by the growth and marketing teams to help ensure consistent execution, impact and follow-up
• Facilitate knowledge exchange and maximize performance by collecting and sharing best practices across different regions and markets

 Our Humble Expectations

• You have 4+ years of work experience within similar industries, consulting, investment banking, technology or related. Experience from e-commerce, digital marketing as well as growth strategy is a plus.
• You enjoy solving problems, you are comfortable with data and have solid analytical skills and are experienced with online analytical tools (SQL a plus)
• You have experience in forecasting, financial planning & budget allocation
• You have an analytical approach when using data to design, develop and execute marketing strategies
• You have excellent Excel and data handling skills
• You have strong attention to detail and ability to own a project, work independently and ask for guidance when needed
• You do not shy away from getting your hands dirty, building and testing - you have prior experience in a fast-moving environment with a strong focus on achieving targets and getting things done
• You communicate clearly and concisely in written and verbal comms and are fluent in English

About the Consumer Pricing and Discounts Domain

The Consumer Pricing and Discounts Data Science team is committed to consumer-first pricing and discounts that are fair, transparent, and compliant. We create innovative pricing & discounts solutions that offer clear value for our consumers with a focus on affordability. We collaborate cross-functionally to achieve both short-term and long-term business goals, balancing topline impact with bottom-line profitability tradeoff. Our team of Data Scientists partners closely with the Strategy & Operations business team as well as Product & Engineering, conducting experiments, advanced analytical data exploration, algorithmic modelling and operational reporting to enhance our consumer pricing & incentives strategies.

What you’ll be doing

As a Senior Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. This role is a great fit for a versatile generalist who can bridge pricing and growth initiatives, connecting the dots across functions to drive business impact. It suits someone who thrives in a cross-functional environment, brings strong business judgment, and can balance priorities within a dynamic team. The position plays a key role in shaping strategy while keeping execution aligned with broader objectives.

The scope spans the full lifecycle - from research and discovery to modelling and experimentation. Responsibilities include defining success through clear measurement frameworks, identifying business opportunities, and tracking performance via reporting. It’s an opportunity to turn insights into action and influence outcomes.

Our humble expectations

• 5+ years of experience in an analytics or data science position
• Proficiency in SQL and Python/R
• Prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Tableau, Mixpanel, Looker, or similar
• Strong business acumen and ability to connect analytical work (models, research, frameworks) to real business impact

What we offer

• The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics!
• You can choose the location from our tech hubs in Helsinki or Stockholm. You have the chance to decide the ways of working: hybrid, at the office, or remote within Finland or Sweden. 💙
• You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement.

Next steps

The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us!

For any further questions about the position, you can turn to Senior Talent Acquisition Partner - Zhanna Filintseva via zhanna.filintseva@wolt.com

The Courier Analytics Team at Wolt focuses on solving complex delivery-related logistical and operational challenges, and our objective is to improve Wolt’s logistics efficiency while delivering an exceptional delivery experience for all parties in our 3-sided marketplace.

Data Scientists at Wolt work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organisation. On the Courier team, we are particularly focused on optimising routing and task assignment efficiency,  predicting delivery times with higher accuracy, and aiming for a flawless delivery experience for both our couriers and customers to boost retention. 

We achieve this by ensuring Courier Group’s product development is rooted in experimentation with the primary goal of delivering impactful results rather than sole features.  By analytical deep-dives, impact estimation, and delving deep into observational data to expose hidden trends and untapped opportunities, our Data Scientists serve as objective advisors, helping to decipher the 'why' behind the data, thereby enabling smarter decisions that align with our overall business strategy. 

What you’ll be doing

• Take Ownership: Drive the Logistics analytics topics within Courier Analytics, becoming the go-to expert in this critical area.
• Drive Experiment-Guided Product Development: Serve as the catalyst for analytical deep-dives and controlled experiments that illuminate Wolt's complex marketplace dynamics and causal chains.
• Champion Statistical Rigour and a Data-Driven Mindset: Serve as an internal advocate for the crucial role of statistical rigour in data analysis. Your advocacy will foster a culture where data isn't just used, but used wisely, reinforcing the integrity of our decision-making processes.
• Collaborate Across Teams: Work closely with cross-functional teams, including Product, Design, Engineering, and Operations, to integrate data-driven decision-making into their workflows.

Our humble expectations

• 5+ years of experience in an analytics or data science position
• Proficiency in SQL and Python/R, and AI IDE tools
• Hands-on experience in designing and analysing A/B testing, coupled with knowledge of quasi-experimental methodologies
• A strong grasp of core concepts and models for causal inference, enabling you to expose complex cause-and-effect relationships within data
• Prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Tableau, Mixpanel, Looker, or similar

What we offer

• The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics!
• You have the chance to decide the ways of working: hybrid, at the office, or remote within Stockholm or Helsinki. 💙
• You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement.

Next steps

The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us!

For any further questions about the position, you can turn to Senior Talent Acquisition Partner - Zhanna Filintseva via zhanna.filintseva@wolt.com

Regulations across our markets are evolving fast - from food safety rules to language requirements, vehicle registrations, contract model changes and more. Every new requirement impacts courier supply: conversion rates, time-to-convert, churn, and forecasting becomes harder.

As our Supply Risks & Compliance Senior Specialist, you will connect the dots between regulatory changes and our courier supply reality. You’ll partner closely with the teams implementing new compliance requirements, assess risk early, translate impact into clear assumptions, and help our Supply teams prepare for what’s coming. Your work will keep our growth predictable, our teams aligned, and our supply resilient.

What you’ll be doing

• Monitor compliance and regulatory changes across North region markets and assess their impact on courier supply, including acquisition, conversion and activation.
• Quantify supply risks: conversion shifts, time-to-convert, CAC implications, pool health, churn patterns, and forecasting uncertainty.
• Partner with cross-functional teams (Legal, Compliance, Operations, Marketing, Finance), as well as external partners such as temporary agencies in Sweden, to ensure supply considerations shape implementation plans.
• Facilitate timely escalations to markets and senior stakeholders, with clear risk framing and recommended actions.
• Build assumptions for impact on KPIs, budgets, workload, and acquisition plans; align with Supply teams on timelines and mitigation strategies.
• Prepare structured briefs and playbooks that translate regulatory changes into clear operational steps for Supply.
• Track the execution of compliance-driven changes and evaluate their real-world impact on supply predictability and performance.

Our humble expectations

Must-haves

• 3-5 years of experience in Operations, Growth, or Supply roles where change or regulatory shifts influenced performance.
• Strong analytical skills - able to interpret performance metrics, quantify impact, and support short- to mid-term forecasting.
• Experience building simple operational models or forecasting frameworks that translate regulatory or funnel changes into expected business outcomes.
• Ability to connect technical/legal changes to operational consequences for funnel health, churn, or forecasting accuracy.
• Confident communicator who can align stakeholders across functions (Legal, Compliance, Ops, Marketing).
• Experience preparing structured recommendations, risk assessments, or impact briefs for senior stakeholders.
• Comfortable working with ambiguity: can bring structure to unclear tasks, work with incomplete information, and adapt as requirements evolve.
• Familiar with modern tools, including the practical use of AI or GPT-based assistants to improve speed, structuring, or analysis.
• Fluent in English (written and spoken), and full professional proficiency in Swedish.
• Ability to work from our Stockholm office three days a week with two optional home office days.

Nice to have

• Exposure to multi-country operations or markets with frequent regulatory change.
• Familiarity with courier onboarding or supply acquisition funnels.
• Experience working with dashboards or data tools (Looker, Tableau, Data Studio, SQL basics).
• Background collaborating with Legal, Compliance, or Policy teams.

Next steps

If this sounds like the right challenge, we’d love to meet you. Apply now, and please submit your application and resume in English!
The process includes conversations with the talent acquisition partner, hiring managers and a practical assignment focused on structuring risk and impact, and a final cross-functional discussion.

About Consumer Analytics at Wolt 

The team partners closely with Wolt's product organization and business partners to make sure the right insights reach the right people at the right time, building a culture where data is a natural part of how we work, not a bottleneck or an afterthought.

The Core Experience team sits at the heart of this, covering the full customer journey from opening the app to completing an order – browsing, search, in-venue experience, cart and checkout. Data Scientists here work hand in hand with product teams, combining rigorous experimentation with sharp business judgment to move fast without sacrificing confidence. 

About the Consumer Data Science Team

The team partners closely with Wolt's product organization and business partners to make sure the right insights reach the right people at the right time, building a culture where data is a natural part of how we work, not a bottleneck or an afterthought.

The Core Experience team sits at the heart of this, covering the full customer journey from opening the app to completing an order – browsing, search, in-venue experience, cart and checkout. Data Scientists here work hand in hand with product teams, combining rigorous experimentation with sharp business judgment to move fast without sacrificing confidence. 

What you’ll be doing

As a Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. The scope of this role ranges from diagnosing problem areas to identifying solutions to designing experiments and ultimately influencing decision-making. This is a rare, operational and actionable data-driven experience that requires a good mix of technical and stakeholder engagement skills. When you join this team, you will be driving action from the frontlines, rather than just doing yet another analytics or data science role. Data Scientists at Wolt take ownership of the business outcomes. 

If you enjoy finding patterns amidst the chaos, are excited to build from 0 to 1, and have experience using data science skills to solve business problems, we're looking for someone like you.

Our humble expectations

• 3+ years of experience in an analytics or data science position
• Experience working with product funnels and user journeys
• Proficiency in SQL and Python
• Hands-on experience in designing and analysing A/B testing
• Experience in using AI in your work to accelerate work velocity, automate repetitive tasks, and generate SQL queries and experiment readouts
• Prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Tableau, Mixpanel, Looker, or similar

What we offer

• The online delivery platform that Wolt is building will offer you interesting and complex challenges, together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time, combined with differences in the economics and dynamics of the cities we operate in, make Wolt both a challenging and interesting company to practice analytics!
• You have the chance to decide the ways of working: hybrid, at the office, or remote within Stockholm or Helsinki. 💙
• You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement.

Next steps

The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us!

For any further questions about the position, you can turn to Senior Talent Acquisition Partner - Zhanna Filintseva via zhanna.filintseva@wolt.com

We are looking for a Staff Data Scientist to join Wolt’s mission in Finland, Sweden, or Germany!

About the role

The Selection Analytics Team at Wolt owns the data and infrastructure that helps all 32 of our country teams build a portfolio of high-quality restaurant and retail stores. Our overarching mission is to provide customers with the best selection by enabling sales teams across all markets to acquire the best merchants.

To do this, we work directly with country sales teams to help them identify and prioritize the highest potential merchant candidates. We also work with Wolt leadership by providing metrics to track selection quality, upon which they develop strategic initiatives and goals. This is a lean and mighty team that owns and operates the engine for merchant acquisition globally.

What you'll be doing

As a senior member of the Selection Analytics team, your role involves leveling up our approach to identifying and prioritizing better merchants. You’ll achieve this by:

• Developing and deploying production-level ML models
• Crafting metrics to unlock deeper insights into merchant selection quality for all markets
• Conducting experiments to understand the impact of selection on specific markets
• Work on self-serve tooling to track these insights.

This is also a rare, high-exposure experience where you will then use your findings to work directly with country leadership to help them uncover growth opportunities. When you join this team, you will be driving action from the frontlines, rather than just crunching numbers and creating dashboards.

Our humble expectations

• 3-5 years of experience in data science, consulting, or a related quantitative role
• Fluent in Python & SQL
• Strong exploratory data analysis skills, willingness to look under the hood
• Exposure to experimental design (A/B testing) and key statistical methods
• Experience in feature engineering, model design, evaluation, diagnostics, and monitoring
• Knowledge of MLOps concepts and tools (e.g. MLflow, Flyte)
• Determination to initiate and lead/own strategic projects to completion with a cross-functional team
• Innate curiosity to understand how things work and a first-principles approach to problem solving

What we offer

• The online delivery platform that Wolt is building will offer you interesting and complex challenges together with the opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time combined with differences in the economics and dynamics of the cities we operate in make Wolt both a challenging and so interesting company to practice analytics. 
• You can work onsite at our offices in Helsinki, Stockholm, or Berlin. Alternatively, you can work remotely anywhere in Finland, Sweden, or Germany. You have the chance to decide the ways of working — a hybrid, at the office, or remote, within the location above. 💙 
• You would get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognize that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement.

Next steps

The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us! 

For any further questions about the position, you can turn to the Product+ Talent Acquisition Partner - Zhanna Filintseva (zhanna.filintseva@wolt.com)

Who we are

The role

At Helsing we develop and deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so must be both reliable and frictionless. Taken together, this brings a whole host of interesting engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples:

• Distributed systems (e.g., intermittent connectivity and byzantine actors)

• Embedded computing (e.g., resource-constrained compute and reverse-engineering)

• Robotics (e.g., control systems and tasking)

• Networking (e.g., long-range low-bandwidth radios and cross-medium routing)

• Deployment infrastructure (e.g., air-gapped devices and heterogenous fleets)

• Security (e.g., data sharing in low-trust, no-TLS networks and actually-secret data handling)

• Machine learning (e.g., systems for model development, storage, and dissemination)

In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.

The day-to-day

• Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.

• Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.

• Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.

• Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.

• Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections.

• Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.

• Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirrelling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.

You should apply if you

• Can write legible, maintainable, and performant code.

• Communicate well in English, both verbally and in writing.

• Enjoy collaborating with others, including reviewing code and pair programming.

• Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).

• Have backend development experience, ideally with a language like Rust, Java, Go, or C++.

• Are familiar with backend interface tools like REST, GraphQL, gRPC/Protocol Buffers, and Arrow.

• Strive to improve yourself, your peers, and the culture you work in over time.

• Feel like ethical considerations are an inherent part of engineering.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• Rust and Python specifically.

• Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS).

• Metrics tooling (e.g., Prometheus, Grafana, ELK).

• SQL and streaming database systems.

• Routing protocols (e.g., IGP, BGP).

• Cryptographic protocols (e.g., Signal, WireGuard).

• Hardware interfaces (e.g., Arduino).

• Robotics (e.g., control systems).

• Production ML systems.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Who we are

The role

Software only matters when it is actively being used and making a difference. As a Deployed AI Engineer, you will be at the heart of this - taking state-of-the-art software and integrating it into complex systems. You will be defining and executing against the end-to-end outcome and all steps on the way to delivering novel capabilities in some of the most challenging environments around.

For example: you collaborate directly with customer avionics engineers to understand the data structures and APIs used in aircraft mission control systems. Instead of being scared, you embrace the complexity of unfamiliar databases, APIs, or network protocols; you dig into the specification and use your creativity and ingenuity to implement adapters for integrating them with Helsing’s cloud infrastructure. By working closely with our partners and customers (both metaphorically and quite literally), you continuously evolve, improve, and operate Helsing software. You own the outcome end-to-end.

The day-to-day

In close collaboration with our product teams, you will discover and formalise customer requirements, identify bugs, and ship the latest features directly to our users. Technology demonstrations are our chance to shine - you will coordinate between customers, partners, and Helsing engineers to showcase Helsing’s software and AI capabilities in simulations or with real systems.

You should apply if you

• Have a degree in computer science, software engineering, electrical engineering, or other relevant fields.

• Have a broad understanding and creative use of computer systems; this is the Swiss army knife in Helsing’s toolbox of world-class talent.

• Prefer asking questions over stipulating answers.

• Love figuring things out, digging deeper and deeper into unfamiliar systems until it finally clicks, and you understand how they work.

• Are not afraid of legacy systems and would rather make them work than give up and try to rewrite it all.

• Are comfortable with scripting languages such as Bash or Python and have experience with software engineering in C++, Java, Rust, or similar.

• Can navigate and configure Linux systems and have an understanding of network stacks and database systems.

• If applying for Germany- it is a requirement that you are able to speak business level or fluent German

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• Experience with Rust and Python.

• Experience with container-based, cloud-native and edge application architectures.

• Experience with maintaining and operating production systems using Prometheus, Grafana, ELK, or similar.

• Experience with SQL, NoSQL, and streaming database systems.

• Experience with production ML systems.

• Bonus points: you have professional experience working in a defence context.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Title: Senior Software Engineer

Location: Sweden, Stockholm or Canada; Toronto (hybrid work model)

Experience: Senior

Job Function:  Engineering 

Employment Type: Full-Time

Industry: Computer Network & Security

About the position

Keyfactor is looking for a highly capable and motivated Senior (Java) Software Engineer to join one of our agile teams. Your primary focus, together with the team is to support the continued growth of our flagship PKI Product offering. You have demonstrable experience in developing professional Java-based systems and have probably had a core engineering role in a product business. While an experience or an interest in this PKI, is meriting, it is more important for us to find someone who is passionate and capable, with the right mindset to be a part of helping us scale and become increasingly self-organizing. 

Job Responsibilities

• Design, implement, and maintain software features and functionality. 
• Conduct code reviews, pull requests and ensure adherence to coding standards. 
• Work closely with other engineers and cross-functional teams to solve complex problems. 
• Contribute to the improvement of software development processes and practices. 
• Identify and resolve technical issues and performance bottlenecks. 
• Provide guidance and support to less experienced engineers. 
• Work closely with the Quality Assurance teams and participate in QA efforts when needed. 
• Participate in internal and external product support when needed. 
• Contribute to technical documentation and project reports. 
• Engage in Agile ceremonies and contribute to iterative development processes. 

Minimum Qualification, Education, and Skills

Capabilities

• Excellent knowledge of Java software development and architecture.
• Strong experience of Java Enterprise (Jakarta EE).
• Deep knowledge of databases/SQL.
• Good knowledge of Linux.
• Knowledge of web application server and container deployment.
• Good knowledge of RESTful API.
• Extensive knowledge of software development in Agile environments. 
• Knowledge and experience in developing secure software. 
• Good knowledge of quality assurance methodologies and the system development life cycle. 
• Strategic thinking, exceptional problem-solving abilities, high-level proficiency in relevant tools and technologies.
• Proficiency in design patterns, strong architectural skills, and advanced debugging abilities.
• Ability to lead complex projects, drive strategic initiatives, and influence decision-making. 
• Ability to take ownership of complex tasks, mentor team members, and drive technical improvements.
• Deep knowledge of software architecture principles, code optimization, and continuous integration practices.

Leadership & Ownership

• Ability to lead complex technical initiatives and influence technical decision-making.
• Strong sense of ownership, with the ability to drive complex tasks to completion.
• Experience mentoring engineers and driving continuous technical improvement.

Who You Are

• Open-minded, adaptable team player who actively contributes to collaboration and knowledge sharing.
• Strong communicator with excellent interpersonal skills, effective with both technical and non-technical stakeholders. 
• Self-driven, action-oriented, and comfortable working both independently and collaboratively.
• Customer-focused mindset with a passion for delivering high-quality, impactful solutions.
• Positive, solution-oriented attitude with a strong sense of accountability.
• Excellent analytical skills, able to break down complex problems into actionable solutions. 
• Highly organized and able to manage priorities in fast-paced environments.

Experience

• Proven track record of working in Agile environments, with strong familiarity with Agile methodologies, tools, and best practices. 
• Demonstrated ability to mentor and support less experienced engineers, acting as a role model within the team. 
• Extensive knowledge of industry trends, company strategy, and cross-functional processes. 
• Strong command of English, both written and spoken, with the ability to communicate clearly in a professional environment. 
• Experience or knowledge in Public Key Infrastructure (PKI) is considered a strong advantage, but not required. 
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 
• Strong demonstrable experience in software engineering or a related field. 

  #LI-NA1

The Role:

At Mentimeter, organic growth is a core part of how we scale across both self-serve and enterprise. With search evolving quickly, there’s an opportunity to rethink how we show up across queries, use cases, and increasingly AI-driven experiences.

We’re looking for an experienced Senior SEO & AI Search Growth Manager to drive Mentimeter’s organic acquisition strategy — making sure high-intent users find us, understand us, and convert through SEO, AI-era discoverability, structured content and localization. You’ll help define the next version of organic discovery at Mentimeter — shaping how we capture demand and stay visible when it matters most.

This is a senior, hands-on individual contributor role: you’ll set the strategy and execute it by building and publishing indexable pages directly in our CMS using approved templates/components, while keeping a scalable content architecture across personas and markets. You’ll help shape how Mentimeter is discovered across both traditional search and emerging AI-driven answer experiences.

In this role you will:

• Own and execute Mentimeter’s SEO strategy: keyword intent mapping, topic clusters, internal linking, and technical foundations.
• Improve discoverability through structured data and modern search practices, including AEO/SGE readiness.
• Monitor performance (rankings, traffic, organic registrations) and iterate based on results and search trends.
• Plan and lead global SEO content creation with Brand and Product Marketing (PMM), ensuring content matches user intent and business goals.
• Build and publish search-optimized, indexable pages in the CMS (titles, headings, meta, canonicals, internal linking, and schema/hreflang where supported).
• Maintain a clear, scalable content structure across personas, use cases, and markets — and keep internal linking healthy.
• Lead localization efforts so translated content meets search standards and delivers real, unique value in each market.
• Partner with CRO to improve conversion without compromising SEO fundamentals; scale winning treatments across templates and markets.
• Track the organic funnel end-to-end and identify opportunities to grow reach, engagement, and registrations. Own the organic journey from discovery to registration, ensuring our search strategy attracts high-intent users — not just traffic.
• Act as an internal voice of search, helping stakeholders understand important shifts in SEO, AI-driven discovery, and search behavior.

You’ll collaborate closely with:

• Website Growth Manager (priorities, goals, tracking, roadmap input)
• Website Optimization / CRO (experiments on indexable pages, scaling winners)
• Brand & PMM (themes, messaging, quality, and consistency)
• Web PM & Developers (new templates/components, platform improvements)
• Sales Enablement (enterprise personas/use cases and content needs)
• Analytics (tracking validation, attribution, page-level reporting)

What we’re looking for:

You’re the kind of person who can zoom out and set a clear organic strategy — then zoom in and ship pages that perform.

• Strong experience in SEO and content growth, typically at least 8+ years.
• Deep understanding of technical + semantic SEO, internal linking, structured data, and localization fundamentals.
• Proven track record growing organic traffic and converting that traffic into registrations and revenue.
• Comfortable owning an SEO/content roadmap and delivering strategy + execution.
• Confidence publishing directly in a CMS and ensuring content quality (with strong editorial judgment).
• Collaborative, proactive working style across Marketing, CRO, Web, PMM, Sales Enablement and Analytics.
• Strong commercial judgment: you know how to prioritize high-intent opportunities and focus on work that drives meaningful business impact, not just rankings.
• Good understanding of how search is evolving, including AI-influenced discovery and answer-driven search experiences.

Who are you:

• The technical specialist: You have 8+ years of experience in high-growth digital companies, with a proven track record of scaling organic traffic into the millions.
• AI-native: You understand the data science behind search. You have a working knowledge of how LLMs process information and how to leverage them for content scale.
• The change leader: You are a strong communicator who can lead cross-functional teams and act as a central point of enablement, clearing bottlenecks to execute fast.
• Data-fluent: You are proficient in SQL, Tableau, or similar tools, allowing you to move beyond "vanity metrics" and report on true pipeline contribution.

Required technical skill set:

• SEO/AEO tools: High level mastery of Ahrefs, Semrush, Screaming Frog, and AI-driven tools.
• Data & analytics: GA4, GSC, SQL, and Google Tag Manager.
• CMS expertise: Deep hands-on experience with headless CMS architectures like Contentful or other.
• Technical excellence: Deep understanding of internationalization (hreflang at scale), site migrations, and page speed optimization.

Not required:

• Swedish is not required (as daily work is carried out in English and the Mentimeter team currently boasts 50+ different nationalities)

What good looks like (after you’ve settled in)

• High-quality SEO pages ship steadily (brief → live), and organic registrations per page trend up over time.
• A reduction in content-to-live cycles through automation and modular CMS design.
• Clear visibility across priority topics/intents/personas — including presence in snippets/AI results where relevant.
• Localized pages rank well and convert in key markets.
• CRO collaboration feels smooth: experiments improve conversion and keep search performance healthy. A significant increase in organic traffic with a corresponding uplift in Conversion Rate (CvR)
• Stakeholders across the business have better visibility into organic performance and stronger confidence in how search supports growth, empowered by transparent, proactive reporting.
• An overall clear progress in how Mentimeter shows up across both traditional search and AI-driven discovery experiences.

📍 Location: This is a hybrid role at Mentimeter HQ in Stockholm. Our guideline is 3 days a week at the office.
Please note that we do not offer relocation sponsorship for the position.

💡Our recruitment process:

1. Screening interview
2. Hiring Manager Interview
3. Business Case + Competence Interview on-site
4. Culture interview (incl. conducting a personality & logical ability tets)
5. References & Offer

Not sure you tick every box? Apply anyway—great matches often come in surprising shapes.

CSQ227R121

Locations - Sweden, Denmark, Finland (Hybrid/Remote)

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems with the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you are a trusted technical advisor to key customers, providing expert guidance that translates data, analytics and AI challenges into high-impact business value. You help design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and customer enablement. Internally, you will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers.

Delivery Solutions Architects (DSAs) are trusted technical advisors embedded within the customer organization, providing expert guidance that translates data and AI challenges into high-impact business value. They help you design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and team enablement. DSAs focus on:

• Designing secure, scalable architecture 
• Aligning people, processes, and technology 
• Establishing trusted advisor relationships
• Leveraging the broader ecosystem of Databricks experts 

This is a hybrid technical and commercial role. Technically, the expectations are that you become the post-sales technical lead and trusted advisor across all Databricks products for the customer’s top priority use cases. This requires you to use your technical skills and credibility to engage and communicate with technical/technical leadership stakeholders in our customer organizations, do architecture reviews, help with performance and cost optimizations, demonstrate new capabilities, remove blockers, etc. In parallel, it is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving onboarding plans. 

While not a hands-on-keyboard role, this is a highly technical position where architectural skills in fields such as Data Architecture, Data Engineering, Data Warehousing or Data Science are essential.

You will report directly to a DSA Manager within the Field Engineering organization.

The impact you will have:

• Be the Databricks Architect working with customer technical teams working on use cases/data products, from development to go-live, addressing any technical challenges and blockers and providing guidance, best practices and enablement
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the internal point of contact for any questions related to production/go live status of agreed upon use cases within an account, often for multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert-level technical teams to address the tasks that are beyond your scope of activities or expertise
• Create  and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs, presenting them to the customers when applicable for their ongoing developments
• internal and external updates - KPI reporting on the status of usage and customer health, risks and blockers, product adoption and use case progression - to your Field Engineering leadership

What we look for:

• Programming experience in PySpark, SQL or Scala 
• Understanding and hands-on experience of solution architecture-related distributed data and analytics systems
• 5+ years of experience where you have been accountable for delivery of projects in  Data, Analytics or AI and where you can contribute to technical debate and design choices with customers
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting roles
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program coordination including account and stakeholder management
• Experience resolving complex and important escalation with senior customer technical stakeholders
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30%

As an Analytics Engineer in the Analytics Foundation team, you help the whole company use data with confidence. You sit in a small team with real ownership: we shape how analytics engineering is done here, not only what gets built. You will make architectural decisions for data modelling and set the bar for quality, maintainability, and how we work. This is not a role where you only implement models from a backlog of “orders”; you partner with the business and with technical teams, surface trade-offs when needed, and help prioritise work that compounds.

We spend most of our time on larger initiatives that improve the platform and how people use data, rather than reacting to a constant stream of ad-hoc questions. The team has a high degree of autonomy over its agenda, little firefighting, and we have invested for years in automating repetitive work so we can focus on impact. You will work hands-on with modern data tooling and with AI-assisted workflows, including coding agents and agent-style automation where they genuinely speed up design, review, and deliver, while staying responsible for correctness, governance, and clarity for stakeholders.

You will develop and maintain core models, quality practices, and governance; support the warehouse and pipelines; and help teams get the most from BI and GTM tooling. Tools in our stack include Snowflake, dbt core, Hex, Prefect, Fivetran, and Hightouch (among others).

Key responsibilities:

• Design, own, and evolve core data models and the modelling architecture; including how they connect to pipelines, freshness, and operational reliability in the warehouse.
• Empower the organization to use and interpret data.
• Partner with business and technical stakeholders from problem framing to shipped artefacts: clarify requirements, suggest better approaches when a request would not scale, and drive or co-drive cross-team initiatives that improve how data is used.
• Collaborate closely with other data professionals; this includes giving actionable feedback in code reviews as well as actively supporting with data modeling 
• Combine subject matter expertise and a high level business understanding to contribute to the direction and strategy for Mentimeter in the realm of data modeling, AI-Analysis, BI-tooling and data activation in GTM-Tooling.
• Develop, own and maintain data modeling standards and the data development experience
• Improve how we work at scale: thoughtful automation and AI-assisted engineering (e.g. coding agents and repeatable workflows) with human accountability for correctness and compliance.
• Maintain and grow how knowledge is surfaced, e.g in semantic models, a data catalog, or documentation

We believe you have:

• Roughly 4-7 years of relevant hands-on experience as an Analytics Engineer, Data Analyst, Data Scientist, BI Analyst, or similar (or equivalent depth if your path is non-linear).
• Strong SQL and sound judgment in data modelling (grain, reusability, naming, and how metrics should behave).
• Experience partnering across departments, including leading or co-leading cross-functional work that shipped something others use.
• Strong business acumen with an understanding of sales, marketing, and product analytics.
• Ability to map ambiguous stakeholder needs to clear, maintainable models and artefacts.
• Experience with BI-tools and development of BI features 
• Knowledge of software collaboration using git.
• Communication in English with both technical and non-technical audiences; interest in helping others grow their data skills.
• Experience working with GDPR-sensitive data and collaborating with legal experts on compliance assessments.

It is beneficial if you have:

• Hands-on experience with dbt (or similar)
• Experience with a semantic or metrics layer
• Experience using AI-assisted coding or coding agents in a disciplined way (reviews, tests, documentation), with clear judgment about automation vs verification for production data work.
• Professional experience working in an agile environment

Not required:

• Swedish is not required (daily work is carried out in English and the Mentimeter team currently boasts 50+ different nationalities).
• A cover letter is not required as part of your application

📍 Location: This is an onsite/hybrid role at Mentimeter HQ in Stockholm.
Please note that we do not offer visa relocation sponsorship for the position.  

💡Our recruitment process:

1. Introduction interview
2. Competence interview, including a live case.
3. Culture interview
4. References & Offer

The Role

To push further our vision of Enterprise AI, we are looking for a senior leader to grow and lead our team of Enterprise Architects. 

This high-impact leadership role demands a unique blend of deep technical expertise, people management experience, and executive presence. You will act as an executive sponsor, confidently presenting to customer C-level executives and helping your team translate strategic goals into actionable technical plans.

Your primary goal is to lead and empower a team that supports our growing sales organization in achieving revenue goals. You will ensure your team successfully unlocks technical blockers by fostering close partnerships with leadership across Sales, Value Engineering, Product Management, Data Ops, and Information Security teams.

Measures of Success

Your success will be measured by your team's impact, including new customer acquisition rates, retention, up-selling, and your overarching contribution to the overall sales team and business success.

The work you’ll do:

• Team Leadership: Hire, mentor, and manage a team of Enterprise Architects who define the overall architecture, data, and cloud strategy for our largest client accounts.
• Executive Engagement: Act as an executive sponsor in pre-Sales and post-Sales phases, presenting strategic visions to C-level executives and engaging with customer Architecture and security teams.
• Drive Strategic Innovation: Guide your team to design architectures that drive enterprise modernization, leverage capability mapping, and explore innovative solutions using emergent technologies like Agentic AI.
• Cross-Functional Alignment: Serve as the leadership bridge between our product & engineering teams within Celonis and client teams to ensure the delivery of premier technical services.
• Ecosystem & Readiness: Oversee the assessment of the IT landscape maturity of our customer installed base and ensure your team effectively coaches Celonis account teams and ecosystem partners on architecture, integration, performance, and scalability.
• Thought Leadership: Direct the development of re-usable assets for projects, as well as customer-facing position papers and thought leadership presentations on architecture and innovation with Celonis.

The qualifications you need:

• Experience: 20+ years of relevant experience, including a proven track record of managing Enterprise Architects or technical teams at a top consulting firm or software vendor.
• Strategic Vision: Proven ability to think strategically, guiding your team to connect technical solutions to business value and customer objectives.
• Communication: Excellent written and verbal communication skills, with a proven track record of navigating complex negotiations and presenting to C-level executives.
• Enterprise Architecture Expertise: Demonstrated experience and deep understanding of Capability Mapping, Enterprise Modernization, and Agentic AI.
• Technical Foundation: Strong background in Data Architecture, system integrations, data operations, automation capabilities, and data-related languages (SQL, Python, etc.). You must be able to comfortably switch from discussing high-level architecture strategy to understanding hands-on demo environments.
• Ecosystem Knowledge: Strong understanding of cloud-native architectures, SaaS solutions (Salesforce, SAP, Dynamics CRM, ServiceNow), cybersecurity posture fundamentals, API ecosystems, and legacy on-premise enterprise architectures.
• Education: MSc degree in Computer Science or an equivalent in an Information Technology-related field.
• Languages: Fluency in English is required; an additional language such as Spanish, French, German, or Italian is a strong advantage.

Preferred:

• Celonis Certifications and extensive leadership experience managing projects with OCPM and Case Centric Data Pipelines.
• Industry standard certifications such as AWS/Azure/GCP, ESB / ETL (Mulesoft, Oracle, SAP, Talend, Informatica), or TOGAF/Zachmann.
• Experience spanning at least two domains (e.g., Finance, Manufacturing, Supply Chain, HR) and at least two industries (e.g., Consumer Goods, Banking, Pharma, Aerospace).

Role Summary and Impact

We are now looking for a Senior Data Scientist who is eager to take a key role in shaping and driving our success going forward. In this role you will take a leading part in growing our clients and improving our models and output.

The person we are looking for is a leader that is equally in love with solving hard marketing problems using data, consulting the largest and most demanding brands and companies in Sweden, and mentoring a growing a team of analytical super stars.

Choreograph is WPP’s data and technology company. We connect the world’s data to help leading advertisers create greater business impact and deliver more growth. In Sweden, Choreograph operates as part of WPP Media, bringing together four departments: Analytics, Insights, Data Strategy, and Data & Tech Consulting. The role we are recruiting for is based in Analytics.

As a member of our team, you’ll join a group of experienced data scientists and marketing consultants who thrive on innovation, collaboration, and driving results.

Skills and Experience  
We’re looking for a Senior Data Scientist to join our growing team in Stockholm. In this role, you will work with:

• As your main task you will help our clients understand and measure the true impact of their marketing investment using measurement tools, including Marketing Mix Modelling. Your role will involve packaging and presenting these findings in a compelling way to engage and inform C-level client stakeholders at some of the biggest companies in the Nordics.
• You will also work hands-on, guide and steer colleagues to transform technical outputs - such as outputs from Python models - into clear, actionable insights. You will work on projects involving attribution modeling, experiments, and algorithm development, while also contributing to the development of automated reporting tools and other innovative data science initiatives.

Qualifications we are looking for:

• Bachelor's/Master’s degree in Engineering, Statistics, Mathematics, Economics, Business administration or a related field.
• Strong business acumen and experience within the marketing and media sector.
• Excellent storytelling and communication skills, with the ability to clearly explain complex technical issues and solutions to non-technical audiences.
• In-depth expertise in statistics, econometrics, and advanced modeling, with applied experience in areas such as Marketing Mix Modeling (MMM), attribution, and experimental design.
• Proficiency in Python (our primary programming language).
• Experience working with Cloud platforms, SQL, GIT, PowerBI, or similar relevant technologies.
• Fluency in both Swedish and English.
• Strong proficiency in Excel and PowerPoint.

Life at WPP Media & Benefits
Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. 

In Sweden, our benefits include a SEK 3,000 wellness allowance, a 37,5-hour workweek, half-days and “klämdagar" off, 30 days of vacation, and two paid volunteer days per year. WPP Media Sweden is a member of Almega, and all employees are covered by a collective bargaining agreement (kollektivavtal), which ensures occupational pension, insurance, and other negotiated terms. We host regular team activities, knowledge-sharing sessions, and wellness initiatives throughout the year. 

 WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.  
   
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.  
 
Application
This is a full-time permanent position with a start date as soon as possible. We apply a six-month probationary period.  Please note that this role requires that you have the legal right to work in Sweden.
In addition to reviewing your CV and conducting interviews, our recruitment process includes a testing phase. Selection and interviews are ongoing, so please submit your application with your CV and cover letter as soon as possible. 

We believe that diverse perspectives make us stronger and encourage applications from people of all genders, backgrounds, and experiences. 

Contact
If you have questions about the position, feel free to contact Viktor Åhlén at viktor.ahlen@wppmedia.com. Due to GDPR, we do not accept applications via email.   

#LI-Promoted 

Modern data platforms are built on events - well-defined, trustworthy signals that describe how users interact with products and systems over time. As a Data Engineer you will help build and improve the data platform that powers analytics, growth, personalization and decision-making across the company.

This role is part of the Data Platform team, where we design and maintain the core data infrastructure that serves Product, Marketing, Growth, and Analytics. You will focus on the systems and infrastructure that supports transforming batch and streaming data into high-quality datasets that downstream systems - from warehouses to activation tools - can rely on.

We are currently in the early stages of building out a new event-driven architecture, and this role will be part of shaping it. That means owning parts of the streaming infrastructure, contributing to foundational decisions about how events are structured and evolved, and having real influence over how data flows across the company for years to come.

This is a hybrid/onsite role located in Stockholm, our guideline is to spend 3 days a week at our office.

What you’ll do

• Design and operate data infrastructure (streaming and batch) and the systems that move data reliably at scale.
• Contribute to how events are defined, structured, and evolved across the platform.
• Ensure data quality, consistency, and observability across event pipelines.
• Ensure GDPR and PII compliance across data flows at scale.
• Contribute to data and architecture best practices that may span across the whole organisation.

Who you are

• A few years of experience as a Data Engineer or data-heavy backend engineer.
• Solid programming and data skills (e.g. SQL, Python, and/or JVM-based languages).
• Experience building and maintaining data pipelines in a modern cloud data stack.
• Experience managing infrastructure as code (e.g. Terraform or similar).
• A good understanding of data quality, observability, and reliability.
• Clear written communication skills in English and comfort working cross-functionally.
• Experience with streaming systems or near real-time data infrastructure (e.g. Kafka, Flink, or similar).

📍 Location: 

This is a hybrid/on-site role at Mentimeter HQ in Stockholm, where we expect you to be in the office at least 3 days/week.
Please note that we do not offer relocation sponsorship for the position.  

Not Required:

You don’t have to know Swedish (daily work is carried out in English and the Mentimeter team currently boasts over 50 nationalities!)

Are you passionate about leveraging data to drive business impact and take analytics to the next level? Join Mentimeter as our Data Analyst, where you will set new standards for our analytics craft within the Data & Analytics (DNA) team and play a pivotal role in advancing our analytics capabilities to drive impactful, data-informed strategies for our SaaS-based business. Data is not only central, but crucial, to how Mentimeter will reach success.

At Mentimeter, the Data & Analytics team is on a mission to catalyse our company strategy and drive innovation, growth and impact throughout our company and user journey by using data. We work at the intersection of analytics, data science, and business to deliver actionable insights and solutions that enable better decisions across departments, including Product, Marketing, Sales, and Revenue Operations. Your contributions will directly influence key business outcomes such as customer retention, engagement, and expansion.

In this role, you’ll collaborate with and be supported by cross-functional teams of data scientists, analytics engineers, user researchers, product managers and revenue leaders who are passionate about Mentimeter’s mission and using data to achieve it.

What you’ll do

• Partner with senior leaders and stakeholders to define key questions, success metrics, and analytical approaches that enable strategic decisions.
• Deliver high-impact analyses and decision support that connect insights across our functions and company.
• Be a key part of our Analytics team to align priorities and ensure solutions are relevant and impactful.
• Collaborate closely with Analytics Engineering and other close teams to enable the business to proactively act on data and create business impact.
• Elevate the analytics craft by setting new standards, implementing innovative approaches and best practices.
• Act as a trusted thought partner and mentor to analysts and stakeholders alike, raising analytical maturity across the organization.
• Translate complex business questions and analytical findings into compelling narratives and visualizations that resonate with diverse audiences.

We believe you have

• A minimum of 5 years of relevant work experience.
• Exceptional communication skills, with the ability to convey complex concepts through clear narratives and visualizations.
• Strong business acumen and experience applying analytics within a domain such as product, sales or marketing.
• Proven expertise in analytics and data exploration, with proficiency in tools such as SQL and BI/visualization platforms.
• A builder mindset and interest to create analysis and systems that scale, leveraging automation, generative AI, and data to drive Mentimeter’s growth and efficiency.
• Comfort working with analytics engineering practices and collaborating with data engineers on data models and pipelines.
• A track record of delivering high-quality, actionable insights aligned with business objectives.
• Experience partnering closely with senior stakeholders and leadership teams.

Nice to have

• Familiarity with modern data tools (e.g. Looker, Hex, Snowflake).
• Experience applying AI in analytical workflows, such as setting up AI agents or automation to accelerate analysis, insight generation, and decision support.
• Experience working within a SaaS environment, with a strong understanding of the unique business challenges and opportunities it presents.

Not required

• Swedish is not required (as daily work is carried out in English and the Mentimeter team currently boasts 50+ different nationalities)

Role Summary and Impact 

As a BI Developer at WPP Media, you will build and maintain Power BI solutions that help our specialists and clients follow up on media performance. The role is centered around developing user-friendly dashboards, establishing robust data streams, and creating well-structured data models that enable reliable reporting at scale. You’ll translate business needs into technical BI solutions and work closely with engineers, Data Scientists, client teams, and customers - often integrating outputs from different measurement and analytics projects (e.g., MMM, attribution, and other studies) into clear, actionable reporting.

Skills and Experience

Requirements

• Bachelor’s degree (or equivalent experience) in Engineering, Computer Science, or a related field
• Experience building and maintaining Power BI solutions, both independently and together with others
• Good knowledge of SQL
• Experience working in a cloud environment, preferably Google Cloud/BigQuery
• Understanding of how data flows and data models are set up to support stable reporting
• Swedish: good understanding in speech and writing
• English: fluent in speech and writing

Meriting

• Experience with data modeling and data integration
• Knowledge of DAXs and/or Python
• Experience from media/marketing environments (e.g., agency, publisher, platform)
• Knowledge of digital marketing and media measurement
• Experience working with or visualising outputs from measurement projects (e.g., MMM, attribution)

Life at WPP Media & Benefits
Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising.

In Sweden, our benefits include a SEK 3,000 wellness allowance, a 37,5-hour workweek, half-days and “klämdagar" off, 30 days of vacation, and two paid volunteer days per year. WPP Media Sweden is a member of Almega, and all employees are covered by a collective bargaining agreement (kollektivavtal), which ensures occupational pension, insurance, and other negotiated terms. We host regular team activities, knowledge-sharing sessions, and wellness initiatives throughout the year.

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

Application
This is a full-time permanent position with a start date as soon as possible. We apply a six-month probationary period. In addition to reviewing your CV and conducting interviews, our recruitment process includes a testing phase. Selection and interviews are ongoing, so please submit your application with your CV and cover letter as soon as possible.

We believe that diverse perspectives make us stronger and encourage applications from people of all genders, backgrounds, and experiences.

Contact
If you have questions about the position, feel free to contact Viktor Åhlén, Head of Operations & Engineering viktor.ahlen@choreograph.com. Due to GDPR, we do not accept applications via email.

#LI-Promoted

Modern data platforms are built on events. Not just logs or tracking points, but well-defined, trustworthy signals that describe how users interact with products and systems over time. As a Data Engineer with an Event background, you will help build and evolve the event-driven foundations that power analytics, growth, personalization, and decision-making across the company.

This role is part of the Data Platform team, where we design and maintain the core data infrastructure that serves Product, Marketing, Growth, and Analytics. You will focus on capturing canonical domain events and transform them to high-quality datasets that downstream systems — from warehouses to activation tools — can rely on with confidence.

The Data Engineering Team

The Data Engineering team builds and owns the data platform that enables the organization to understand its users and its business. We work closely with Product Engineering, Growth, Marketing, and Analytics to ensure that data is reliable, observable, compliant, and fit for purpose.

Within the team, this role brings deep expertise in event-based data modeling and martech-adjacent systems, strengthening Mentimeter’s ability to reason about user behavior, lifecycle metrics, and cause-and-effect across touchpoints. Your work will directly influence how events are defined, ingested, validated, and activated throughout the data ecosystem.

What you’ll do

• Model event data in the warehouse to support analytics, growth metrics, and lifecycle analysis.
• Ensure data quality, consistency, and observability across event pipelines.
• Collaborate with marketing and growth teams to enable reliable activation and personalization through tools such as Braze.
• Ensure GDPR and PII understanding and compliance across data flows, including consent handling and secure storage.
• Contribute to architectural decisions and best practices within the Data Engineering team.
• Act as the technical owner for Braze, including:
  • Defining and maintaining the event and user attribute contracts that power messaging, journeys, and personalization.
  • Ensuring data correctness, timeliness, and consistency between the warehouse and Braze.
  • Partnering with Marketing and Growth to enable safe, scalable activation patterns.

We believe you have

• Several years of experience as a Data Engineer, Analytics Engineer, or data-heavy backend engineer.
• Strong experience working with event-driven data models and behavioral data.
• Hands-on experience with event ingestion platforms (Segment or similar).
• Solid programming and data skills (e.g. SQL, Python, and/or JVM-based languages).
• Experience building and maintaining data pipelines in a modern cloud data stack.
• A strong understanding of data quality, observability, and reliability.
• The ability to understand and explain cause and effect in marketing and product data.
• Clear written communication skills in English and comfort working cross-functionally.

It’s a big plus if you have

• Experience working closely with martech platforms such as Braze.
• Previous experience as a Growth Engineer or in growth-focused product teams.
• Experience with streaming or near real-time data systems.
• Familiarity with user lifecycle frameworks and activation metrics.
• Experience working with GDPR-sensitive datasets at scale.

Not required

You don’t have to know Swedish (daily work is carried out in English and the Mentimeter team currently boasts over 50 nationalities!)

📍 Location: This is a hybrid/on-site role at Mentimeter HQ in Stockholm, where we expect you to be in the office at least 3 days/week.

Please note that we do not offer relocation sponsorship for the position.  

Are you passionate about leveraging data science to drive business impact and take analytics to the next level? Join Mentimeter as our Senior Data Scientist, where you will set new standards for data science craft within the Data & Analytics (DNA) department and play a pivotal role in advancing our analytics capabilities to drive impactful, data-informed strategies for our SaaS-based business. Data is not only central, but crucial, to how Mentimeter will reach success.

At Mentimeter, the DNA department is on a mission to catalyse our company strategy and drive innovation, growth and impact throughout our company and user journey by using data. We work at the intersection of analytics, data science, and business to deliver actionable insights and solutions that enable better decisions across departments, including Product, Marketing, Sales, and Revenue Operations. Your contributions will directly influence key business outcomes such as customer retention, engagement, and expansion.

In this role, you’ll collaborate with and be supported by cross-functional teams of data scientists, data engineers, user researchers, product managers and company leaders who are passionate about Mentimeter’s mission and using data to achieve it.

What you’ll do

• Design and deploy machine learning models, such as predictive scoring, clustering, and forecasting, with a strong focus on technical aspects of production deployment.
• Build and ship internal data products that activate models and insights in the right systems and tools to drive impact.
• Be a key part of our Analytics team to align priorities, partner with stakeholders and ensure solutions are relevant and impactful.
• Collaborate closely with our Data Platform Team, Analytics Engineering, and other sister teams to enable the business to proactively act on data and create business impact.
• Elevate the data science craft within the Data & Analytics department by setting new standards, implementing innovative approaches and best practices.
• Provide mentorship and technical guidance to team members, fostering a culture of continuous learning and growth.
• Translate complex data analyses into compelling narratives and visualizations that resonate with diverse audiences.

We believe you have

• A minimum of 8 years of relevant work experience.
• Proven expertise in data science methodologies, with strong proficiency in machine learning techniques and programming languages (e.g. Python and SQL).
• Strong business acumen with a deep understanding of sales, marketing, and product analytics.
• Expertise in ML modeling with a focus on production deployment and ML engineering best practices (e.g. versioning, monitoring, testing).
• A builder mindset and interest to build internal products and systems that scale, leveraging automation, generative AI, and data to drive Mentimeter’s growth and efficiency.
• Solid software engineering practices, including git, code reviews, and writing performant, maintainable code.
• Experience collaborating with data engineers on data pipelines, model deployment, and monitoring.
• Demonstrated ability to deliver high-quality analyses and actionable insights aligned with business objectives.
• Exceptional communication skills, with the ability to convey complex concepts through clear narratives and visualizations.
• A track record of mentoring team members and fostering a culture of best practices and continuous improvement.

Nice to have

• Familiarity with modern data tools (e.g. Looker, Hex, Snowflake) and cloud platforms (e.g. AWS, Google Cloud).
• Experience working within a SaaS environment, with a strong understanding of the unique business challenges and opportunities it presents.

Not required

• Swedish is not required (as daily work is carried out in English and the Mentimeter team currently boasts 50+ different nationalities)