About the role:

As a fast-growing business, data is the connective tissue of everything we do - from understanding how customers discover us to deciding on which new features should be rolled out. We're looking for a Data Analyst who doesn't just build dashboards, but who asks the harder questions: why are users doing this, and what should we do about it?

You'll sit at the intersection of engineering and commercial decision-making - trusted by leadership to deliver reliable data and clear narratives, and trusted by the team to keep the pipelines humming. This is an early stage opportunity for an analyst who wants to build. If that sounds like the perfect mix for you, we’d love to chat!

What you will do: 

• Drive business performance, through proactive data analysis, sharp reporting, and actionable insights that land with leadership
• Own and evolve our data pipelines, ensuring data is fresh, accurate, and trustworthy when it matters
• Build and maintain dbt models, that serve recurring business needs across Growth, Finance, and Product
• Be the storyteller in the room, presenting findings and translating complexity into clear narratives that move decisions forward
• Keep a close eye on pipeline health, troubleshoot issues proactively, and champion continuous improvement in data quality

What you will need: 

• You communicate data clearly to non-technical stakeholders - including C-level
• Strong SQL skills and working knowledge of dbt (models, tests, documentation)
• Comfortable writing Python scripts for data transformation or pipeline tooling
• Strong intuition around subscription lifecycle & paid acquisition metrics - you've lived in this space before
• Intellectually curious: You aren’t satisfied with “what” happened; you are focused on “why” it happened.
• An ownership mindset - you communicate proactively, take end-to-end responsibility, and thrive in a small, collaborative team

Nice to have: 

• Experience managing ingestion pipelines or working with orchestration tools like Airflow
• Familiarity with data quality or observability tools
• Experience using AI tools to accelerate data work - LLMs for SQL generation, documentation, anomaly detection, or pipeline debugging

We would also like to offer you:

• Lunch: On days you work in the office a warm fresh lunch will be provided for you.
• Up to 15 days Work From Anywhere Benefit.
• 24 days of paid vacation per year + public holidays.
• Travel Allowance, if you live more than 10 KM from the office (in the form of an NS card)
• Company pension plan.
• Company events and overseas trips!

(Please note that for this role you must already be living in the Netherlands)

About the Role

We are building Optiver’s next-generation Enterprise Data Platform on the Databricks Lakehouse. As an Enterprise Data Engineer, you’ll design the curated data models, pipelines, and metrics that make data a trusted asset across Finance, People, and Business Operations.

This is a hands-on role at the center of our data transformation: you’ll shape how business stakeholders access and trust data, working on one of the most modern stacks in the industry

WHAT YOU’LL DO

• Build clean, scalable ELT pipelines using dbt, SQL, PySpark, and Databricks.

• Design curated models and semantic layers to standardize KPIs across Finance, People, and Ops.

• Partner directly with business teams to turn complex requirements into clear, reusable data products.

• Implement governance and quality checks (lineage, testing, role-based access) so data is reliable and secure.

• Deliver data products that power BI tools and self-service analytics.

• Contribute to platform best practices (CI/CD, naming conventions, testing frameworks).

WHO YOU ARE

• Experience in Data Engineering or Analytics Engineering, ideally with exposure to Finance, People, or Business Ops data.

• Advanced SQL and dbt skills, with experience modeling for analytics (dimensional, medallion, vault).

• Hands-on experience with Databricks or equivalent Lakehouse platforms.

• Understanding of data governance and quality frameworks.

• Strong communication skills and the ability to work directly with business stakeholders.

WHO WE ARE

At Optiver, our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates. As one of the largest market making institutions, we are a trusted partner of 70+ exchanges across the globe.

WHAT YOU’LL GET

At Optiver, data is central to everything we do. You’ll join a small, high-impact team with a mandate to build best-in-class data capabilities from the ground up. Here, you will:

• Work with a modern Lakehouse + dbt stack, setting the standards others will follow.

• See your models and pipelines directly shape decision-making across the firm.

• Grow alongside experienced data leaders in a culture of excellence, innovation, and continuous improvement.

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the toughest problems in the financial markets.

In addition, you’ll receive:

• A performance-based bonus structure, enabling all of our employees to benefit from our global profit pool.

• The opportunity to work alongside best-in-class professionals from over 50 different countries.

• 25 paid vacation days in your first year, increasing to 30 from your second year onwards.

• Training opportunities, discounts on health insurance, and fully paid first-class commuting expenses.

• Extensive office perks, including breakfast, lunch and dinner, world-class barista coffee, in-house physio and chair massages, organized sports and leisure activities, and Friday afternoon drinks.

• Training and continuous learning opportunities, including access to conferences and tech events.

• Competitive relocation packages and visa sponsorship where necessary for expats.

HOW TO APPLY

Apply directly via the form below. If you have any questions feel free to contact our Recruitment team via our recruitment inquiry form.

Please note:

• We do not require any assistance from third-parties including agencies in the recruitment of this role

• We cannot accept applications via email’

DIVERSITY STATEMENT

Optiver is committed to diversity and inclusion.

RDQ426R402

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a Product Manager on the Lakeflow Jobs team, you will shape the future of data-aware orchestration on the Databricks Data Intelligence Platform. Jobs is Databricks’ built-in orchestrator, managing hundreds of millions of workloads every week with 99.95% reliability. It powers ETL, AI/ML, BI, and streaming workloads for thousands of customers. Your focus will be on evolving control-flow capabilities, authoring experiences, and observability features that allow customers to productionize workflows with best practices like source control, code promotion, and system observability.

This role requires a deep understanding of orchestration workflows, data pipelines, and service reliability. You will work closely with engineers, designers, field teams, and customers to define the roadmap, drive adoption, and ensure Jobs is the best-in-class orchestration platform for modern data and AI teams.

The impact you’ll have:

• Define strategy & roadmap: Set vision and priorities across orchestration, triggers, authoring, and observability. Translate customer needs into features and integrations that accelerate Lakeflow Jobs adoption.
• Drive metrics & observability: Define success metrics for adoption, engagement, and developer efficiency. Use data to guide roadmap decisions and refine the product experience.
• Collaborate cross-functionally: Partner with global engineering, field engineering, solution architects, and external partners to deliver impactful features and integrations.
• Champion customer needs: Talk to hundreds of customers, understand their journeys, and advocate for features that reduce friction in authoring, monitoring, and orchestrating workloads.
• Own the product lifecycle: Write PRDs, release notes, and documentation, and drive launches that ensure customer and business success.

What we look for:

• 5+ yrs of experience
• Bachelors degree in Computer Science or similar field
• Experience in Product Management (inbound, outbound, cross-functional processes)
• Solid understanding of major orchestration tools (Airflow, Dagster, Prefect etc.)
• Technical skills understanding of data pipelines (Spark, dbt, Lakeflow Pipelines)
• Strong data analysis and operationalization skills (SQL, Python, building operational dashboards)
  
  

• Partner with Sales stakeholders to define analytical requirements, metrics, and KPIs, and identify opportunities for improvement.
• Develop and maintain dashboards, reports, and visualizations that provide timely and actionable insights.
• Analyze revenue streams and contribute to forecasting using statistical, heuristic, or machine learning approaches.
• Perform exploratory and ad hoc analyses to support decision-making across Sales and related teams.
• Collaborate with data engineers to design and implement data marts, reporting layers, and ETL pipelines; contribute to our dbt-based analytics infrastructure.
• Support Sales Development and Lead Generation teams by analyzing experiments and campaign performance.
• Monitor data quality across reporting assets and work with data owners to resolve issues.
• Document metrics, dashboards, and data sources, and help stakeholders effectively use analytics tools.
• Promote self-service analytics by enabling teams to access and interpret data independently.

• 5+ years of experience in a BI, data analysis, or similar analytical role.
• Strong SQL skills and experience with Python, R, or another relevant programming language.
• Experience with BI and visualization tools such as Tableau, Power BI, Qlik, DataLens, or similar.
• Understanding of data warehousing concepts, relational databases, and data processing workflows.
• Experience working with structured datasets and building reliable reporting solutions.
• Strong analytical thinking, attention to detail, and curiosity about data.
• Ability to communicate clearly with both technical and non-technical stakeholders.
• Professional working proficiency in English.

• Experience working with Sales, Marketing, or other go-to-market domains, especially in B2B environments.
• Hands-on experience building ETL pipelines and preparing datasets for analytics.
• Experience working with dbt or similar data transformation tools.
• Familiarity with data governance and data quality practices.

#LI-DNI

With thousands of active lots every day, hundreds of thousands of daily bids, millions of users, and billions of events, the Catawiki platform generates vast amounts of data. We collect and store this data, and use it extensively to build a better company by making smarter decisions. The Data Science & Insights team plays a central role in that.

We are looking for a Data Scientist - Commercial Insights to work with our Commercial teams (primarily marketing and supply) and leverage data to identify commercial opportunities from understanding the marketplace balance of the platform to scaling the demand/offering in a given category.

You will be part of the Data Science & Insights team helping us make sense of our data, finding actionable insights and creating self-service opportunities by combining data from multiple sources and working closely together with your colleagues in other departments.

In this role, no two days will be the same: you will build ad hoc analyses, design and analyse commercial activations, uncover trends in user behaviour, communicate about the impact of a new initiative or enhance the reliability of our data pipelines. Whatever the task, you’ll play a pivotal role in shaping Catawiki’s commercial strategy and influencing our stakeholders.

What You’ll Do 

• Own analytics for a commercial area – At Catawiki, you’ll take full ownership of a major part of the commercial strategy. This could mean leading analytics for all demand scaling initiatives in marketing or everything related to increasing supply in a given category. You’ll build strong partnerships with stakeholders and proactively come up with recommendations to drive revenue growth.
• Turn data into insights and recommendations – You’ll go beyond tracking metrics—you’ll define and refine key success measures, uncover trends, and translate data into clear recommendations. Your insights will help shape commercial decisions, flag opportunities, and drive the strategy forward.
• Drive advanced analytics at scale – You’ll use methods like regression analysis, causal inference, and scenario testing to understand buyer and seller needs and help commercial teams make faster, better decisions to scale demand and supply.

Who You Are

• Commercially minded data leader – You have a strong quantitative background and 3+ years of experience in Data Science or Analytics, ideally in an online company. You’re comfortable owning complex projects and influencing stakeholders with clear, pragmatic recommendations focused on commercial impact and value.
• Advanced technical skills – You're highly proficient in SQL and experienced in writing code to transform data into insights, whether in Python, R, or another language. You can handle large datasets, optimize data pipelines, and work with tools like Looker Studio, Tableau, Power BI, and data transformation tools like dbt or Dataform.
• Deep statistical expertise – You have a strong grasp of statistics and apply advanced techniques like regression analysis, causal inference, time series modeling, and hypothesis testing to extract meaningful insights and drive impact.
• Proactive and entrepreneurial mindset – You take ownership, solve problems autonomously, and drive initiatives forward—even when it means stepping outside your comfort zone.
• Strong communicator and mentor – You work effectively with leadership, engineers, and product teams, translating complex data insights into clear recommendations. You also enjoy mentoring junior data scientists and fostering a data-driven culture.

Where You’ll Be 

This role is a hybrid role based in our Amsterdam or Lisbon office.