Snowflake Jobs in Stockholm.
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Join EQT as a Data Engineer in the Client Tech Value Stream, where you will build and scale our modern data platform. You will work across the full data lifecycle, enabling reliable, high-quality data products that support decision-making across the business.
About the Client Tech Value Stream team
The Client Tech Value Stream focuses on delivering technology and data solutions that support client, investor, and fund-related processes. The team works closely with engineering, product, CRM, and business stakeholders to build scalable platforms that enable insights and operational efficiency across EQT.
About the role
You will play a key role in designing, building, and operating EQT’s cloud-based data platform. You will work across ingestion, transformation, and data modeling to ensure high-quality, reliable, and accessible data.
- Design, build, and operate scalable data pipelines across multiple data sources.
- Ingest data from APIs, external platforms, Fivetran connectors, and cloud storage.
- Develop and maintain data models using dbt on Snowflake.
- Structure data around core business entities such as clients, investors, funds, and transactions.
- Enable analytics and reporting in tools such as Power BI, Salesforce CRM Analytics, Tableau and our AI stack.
- Monitor and troubleshoot pipelines to ensure reliability and performance.
- Collaborate with stakeholders across engineering, analytics, CRM, and business teams.
- Contribute to platform improvements and modernization of legacy pipelines.
- Support infrastructure and access management using GitHub, Terraform, and Snowflake.
About you
You are an experienced Data Engineer who enjoys working across the full data stack and collaborating with diverse teams. You are comfortable working in a modern cloud environment and translating business needs into scalable data solutions. You are curious about AI and new technology, and can translate both human and machine needs into code.
Essential skills and experience:
- Experience building data pipelines and working with cloud data platforms.
- Experience collaborating with nontechnical stakeholders for requirements and maintenance.
- Strong SQL skills and experience with data modeling for usage by reporting tools and LLM models.
- Experience with Snowflake and dbt or similar tools.
- Experience integrating data from multiple systems such as APIs and SaaS platforms.
- Familiarity with data visualization tools such as Power BI or Tableau.
- Experience with version control and infrastructure tools such as Git and Terraform.
Nice to have:
- Experience with GCP and Fivetran.
- Experience working with CRM systems such as Salesforce.
- Understanding of financial or private markets data.
What we offer
You will be part of a collaborative and forward-looking team where data is central to how EQT creates value. We offer opportunities to work with modern technologies, contribute to impactful projects, and grow your skills in a global environment.
Inclusion at EQT
Our vision for EQT employees is to build high performing & engaged teams. Our competitive edge comes from fostering an environment where every individual feels valued, empowered, and motivated to drive business impact. Our commitment to inclusion is not just about fairness; We understand and believe that being a great place to work drives the best performance.At EQT, inclusion is a business imperative and it's embedded into our talent strategy, decision-making, and culture to ensure that every individual and team operates at their full potential. By doing so, we unlock better collaboration, stronger innovation, and superior investment outcomes.
About EQT
EQT is a purpose-driven global investment organization focused on active ownership strategies. With a Nordic heritage and a global mindset, EQT has a track record of over three decades of developing companies across multiple geographies, sectors and strategies. EQT has investment strategies covering all phases of a business’ development, from start-up to maturity. EQT has EUR 270 billion in total assets under management (EUR 141 billion in fee-generating assets under management), within two business segments – Private Capital and Real Assets.
With its roots in the Wallenberg family’s entrepreneurial mindset and philosophy of long-term ownership, EQT is guided by a set of strong values and a distinct corporate culture. EQT manages and advises funds and vehicles that invest across the world with the mission to future-proof companies, generate attractive returns and make a positive impact with everything EQT does. EQT has offices in more than 25 countries across Europe, Asia and the Americas and has more than 1,900 employees.
More info: www.eqtgroup.com
Follow EQT on LinkedIn, X, YouTube and Instagram
Ready to apply?
Apply to EQT Group
Senior Platform Engineer
EQT is looking for a Senior Platform Engineer to join our engineering platform team in Stockholm. This is a hands-on role for an experienced engineer who enjoys building reliable platforms, working closely with teams, and driving long-term impact.
About the Engineering Platform team
The engineering platform team builds and operates EQT’s core platform, enabling product teams to run secure, reliable, and scalable services, data-products and agentic ai. The team works closely with developers and security partners, with a strong focus on automation, standards, and operational excellence.
About the role
In this role, you will work across EQT’s engineering platform and lead the design and delivery of key platform initiatives. You will collaborate with teams across the organization to drive adoption, improve reliability, and enhance the developer experience.
- Lead the design, architecture, and rollout of platform projects from start to finish.
- Collaborate with engineers across the organization to align on platform standards and best practices.
- Operate and continuously improve the engineering platform.
- Contribute to on-call rotations and support platform reliability.
- Improve platform reliability, security, and developer experience.
- Support incident response, troubleshooting, and root cause analysis.
About you
You enjoy working in a high-trust environment and take ownership of building strong technical foundations. You are collaborative, structured in your approach, and motivated by enabling others to succeed.
Essential skills and experience:
- Experience as a senior Platform, SRE, or Infrastructure Engineer.
- Proven experience leading platform projects from concept through to production.
- Hands-on experience running Kubernetes production environments.
- Experience working with cloud platforms, preferably Google Cloud Platform (GCP).
- Experience with infrastructure as code, preferably Terraform.
- Familiarity with GitOps and CI/CD workflows.
Tech Stack / Environment: GCP, GKE, ArgoCD, Gatekeeper, Cilium, Terraform, CircleCI, GitHub, Cloudflare, Datadog, incident.io, Snowflake, DBT, Hex, Go, Python, Next.js
Nice to have:
- Experience with platform security.
- Knowledge of authentication and identity systems.
- Strong networking knowledge across cloud and Kubernetes environments.
- Interest in the Agentic AI ecosystem
- Experience improving platform and production environment resilience.
What we offer
At EQT, you will work in a collaborative and high-trust environment where your ideas and contributions matter. You will have the opportunity to shape a modern engineering platform, work with experienced colleagues, and continue to grow your skills while delivering meaningful impact.
Inclusion at EQT
Our vision for EQT employees is to build high performing & engaged teams. Our competitive edge comes from fostering an environment where every individual feels valued, empowered, and motivated to drive business impact. Our commitment to inclusion is not just about fairness; We understand and believe that being a great place to work drives the best performance.At EQT, inclusion is a business imperative and it's embedded into our talent strategy, decision-making, and culture to ensure that every individual and team operates at their full potential. By doing so, we unlock better collaboration, stronger innovation, and superior investment outcomes.
About EQT
EQT is a purpose-driven global investment organization focused on active ownership strategies. With a Nordic heritage and a global mindset, EQT has a track record of over three decades of developing companies across multiple geographies, sectors and strategies. EQT has investment strategies covering all phases of a business’ development, from start-up to maturity. EQT has EUR 270 billion in total assets under management (EUR 141 billion in fee-generating assets under management), within two business segments – Private Capital and Real Assets.
With its roots in the Wallenberg family’s entrepreneurial mindset and philosophy of long-term ownership, EQT is guided by a set of strong values and a distinct corporate culture. EQT manages and advises funds and vehicles that invest across the world with the mission to future-proof companies, generate attractive returns and make a positive impact with everything EQT does. EQT has offices in more than 25 countries across Europe, Asia and the Americas and has more than 1,900 employees.
More info: www.eqtgroup.com
Follow EQT on LinkedIn, X, YouTube and Instagram
Ready to apply?
Apply to EQT Group
Analytics Engineer
Share this job
Mentimeter is an engagement tool with a clear goal in mind. To turn presentations into conversations. Through real-time interactivity and clear visualizations, we get people to participate, engage and become more productive. Transforming all those passive meetings, airless classrooms and drawn out trainings into valuable and memorable moments.
We truly believe that you achieve the best results by doing things together. And that successful leaders need to adopt a curious and collaborative mindset in order to get there. So with you at Mentimeter, you’ll be a big part of the ambition to help over 1 billion people listen, learn and work better together.
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:
- Introduction interview
- Competence interview, including a live case.
- Culture interview
- References & Offer
What Mentimeter can offer
At Mentimeter we can offer a diverse and inclusive work environment supported by smart and driven colleagues. We believe in continuous professional development for all of our colleagues and therefore offer access to a leadership program (including external personal coach) and relevant education to ensure that we continue to be state-of-the-art when it comes to innovating and building Mentimeter. Your place will be in a growing company with lots of career opportunities, working on a beloved product used by more than 300 million people. It’s not all about work though, we also offer a very healthy view on work-life balance.
All of this comes attached with a competitive compensation and benefits package, including pension contributions. Learn more about our benefits by visiting our Benefits & Perks page
At Mentimeter, we believe AI helps us work smarter - but it never replaces the human assessment, curiosity, and personal connection that define our culture and our hiring. We use AI as a sparring partner: to bounce ideas, bring new perspectives, support structure, and make our work more efficient. But the meaning, decisions, and interactions always come from people.
- AI does not screen or decide on candidates.
- There is no automated filtering, ranking, or decision-making in our recruitment process. Every application is reviewed by a person.
- Hiring teams may use AI to support their work - for example, to structure notes, prepare interview questions, or organize their thinking.
Culture at Mentimeter
At Mentimeter we believe in giving everyone a voice - regardless of who you are. So we build a platform that does just that. Our platform is not only our product but also our organization. A platform where people feel safe, where differences are embraced, a place where you can have fun. We strongly encourage applicants who are people of color, LGBTQ+, women, people with disabilities, and/or formerly incarcerated people, and a college degree is not strictly required. In order to give everyone a voice, we need to be as diverse as our users.
Learn more about our culture by visiting our Culture page.
Review our Privacy Policy for more information.
Ready to apply?
Apply to Mentimeter
Data Analyst
Share this job
Mentimeter is an engagement tool with a clear goal in mind. To turn presentations into conversations. Through real-time interactivity and clear visualizations, we get people to participate, engage and become more productive. Transforming all those passive meetings, airless classrooms and drawn out trainings into valuable and memorable moments.
We truly believe that you achieve the best results by doing things together. And that successful leaders need to adopt a curious and collaborative mindset in order to get there. So with you at Mentimeter, you’ll be a big part of the ambition to help over 1 billion people listen, learn and work better together.
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)
What Mentimeter can offer
At Mentimeter we can offer a diverse and inclusive work environment supported by smart and driven colleagues. We believe in continuous professional development for all of our colleagues and therefore offer access to a leadership program (including external personal coach) and relevant education to ensure that we continue to be state-of-the-art when it comes to innovating and building Mentimeter. Your place will be in a growing company with lots of career opportunities, working on a beloved product used by more than 300 million people. It’s not all about work though, we also offer a very healthy view on work-life balance.
All of this comes attached with a competitive compensation and benefits package, including pension contributions. Learn more about our benefits by visiting our Benefits & Perks page
At Mentimeter, we believe AI helps us work smarter - but it never replaces the human assessment, curiosity, and personal connection that define our culture and our hiring. We use AI as a sparring partner: to bounce ideas, bring new perspectives, support structure, and make our work more efficient. But the meaning, decisions, and interactions always come from people.
- AI does not screen or decide on candidates.
- There is no automated filtering, ranking, or decision-making in our recruitment process. Every application is reviewed by a person.
- Hiring teams may use AI to support their work - for example, to structure notes, prepare interview questions, or organize their thinking.
Culture at Mentimeter
At Mentimeter we believe in giving everyone a voice - regardless of who you are. So we build a platform that does just that. Our platform is not only our product but also our organization. A platform where people feel safe, where differences are embraced, a place where you can have fun. We strongly encourage applicants who are people of color, LGBTQ+, women, people with disabilities, and/or formerly incarcerated people, and a college degree is not strictly required. In order to give everyone a voice, we need to be as diverse as our users.
Learn more about our culture by visiting our Culture page.
Review our Privacy Policy for more information.
Ready to apply?
Apply to Mentimeter
Senior Data Scientist
Share this job
Mentimeter is an engagement tool with a clear goal in mind. To turn presentations into conversations. Through real-time interactivity and clear visualizations, we get people to participate, engage and become more productive. Transforming all those passive meetings, airless classrooms and drawn out trainings into valuable and memorable moments.
We truly believe that you achieve the best results by doing things together. And that successful leaders need to adopt a curious and collaborative mindset in order to get there. So with you at Mentimeter, you’ll be a big part of the ambition to help over 1 billion people listen, learn and work better together.
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)
What Mentimeter can offer
At Mentimeter we can offer a diverse and inclusive work environment supported by smart and driven colleagues. We believe in continuous professional development for all of our colleagues and therefore offer access to a leadership program (including external personal coach) and relevant education to ensure that we continue to be state-of-the-art when it comes to innovating and building Mentimeter. Your place will be in a growing company with lots of career opportunities, working on a beloved product used by more than 300 million people. It’s not all about work though, we also offer a very healthy view on work-life balance.
All of this comes attached with a competitive compensation and benefits package, including pension contributions. Learn more about our benefits by visiting our Benefits & Perks page
At Mentimeter, we believe AI helps us work smarter - but it never replaces the human assessment, curiosity, and personal connection that define our culture and our hiring. We use AI as a sparring partner: to bounce ideas, bring new perspectives, support structure, and make our work more efficient. But the meaning, decisions, and interactions always come from people.
- AI does not screen or decide on candidates.
- There is no automated filtering, ranking, or decision-making in our recruitment process. Every application is reviewed by a person.
- Hiring teams may use AI to support their work - for example, to structure notes, prepare interview questions, or organize their thinking.
Culture at Mentimeter
At Mentimeter we believe in giving everyone a voice - regardless of who you are. So we build a platform that does just that. Our platform is not only our product but also our organization. A platform where people feel safe, where differences are embraced, a place where you can have fun. We strongly encourage applicants who are people of color, LGBTQ+, women, people with disabilities, and/or formerly incarcerated people, and a college degree is not strictly required. In order to give everyone a voice, we need to be as diverse as our users.
Learn more about our culture by visiting our Culture page.
Review our Privacy Policy for more information.
Ready to apply?
Apply to Mentimeter