As a Data Analyst at Guerrilla, you will turn player and gameplay data into actionable insights that support data-informed decision-making across development teams. Working closely with designers, producers, engineers, and user research, you will investigate player behaviour, contribute to analytical approaches, and communicate insights that support game development.

What You Will Do

Your responsibilities will include:

• Support analytics for one or more gameplay domains (e.g., progression, combat systems, economy, player onboarding), working with stakeholders to define goals, measurement approaches, and analysis plans.
• Conduct analyses that uncover player behaviour patterns, design risks, and opportunities to improve engagement and player experience.
• Partner with cross-disciplinary stakeholders (design, production, engineering, user research, publishing) to shape analysis from question framing through delivery and follow-up.
• Help define success metrics by translating project goals into KPIs, standard metrics, and measurement approaches that are practical for development teams.
• Contribute to the design and validation of gameplay telemetry and event taxonomy to ensure analytics can effectively measure player behaviour and game systems.
• Ensure data quality and trust by monitoring data completeness, consistency, and reliability, and clearly communicating limitations when they exist.
• Translate analyses into clear insights and recommendations that support design, production, and product decisions.
• Support experimentation and measurement efforts for gameplay features, helping teams evaluate feature performance and player impact.

Candidates hired at the Senior level will also be expected to:

• Own analytics initiatives for key gameplay domains and drive analytical investigations that influence development decisions.
• Proactively identify opportunities for analysis and shape analytical roadmaps with cross-disciplinary stakeholders.
• Lead the design and evolution of gameplay telemetry and event taxonomy.
• Guide experimentation and measurement strategies for gameplay features.
• Mentor and support other analysts, contributing to strong analytical practices across the team.

Who You Are

We'd love to hear from you if you have: 

• Experience working with cross-disciplinary teams to deliver analytical insights that support decision-making.
• Advanced SQL skills with a strong track record of working with large behavioural datasets (e.g., event streams / telemetry).
• Strong analytical ability and quantitative reasoning (e.g., distributions, correlations, cohort analysis).
• Experience working with stakeholders to turn ambiguous questions into well-scoped analysis and actionable insights.
• A strong understanding of games and player behaviour.
• Experience with data visualisation tools such as Tableau.
• Strong communication and presentation skills.
• Experience working with gameplay telemetry or instrumentation in complex products.
• Experience with Python (and Jupyter notebooks) or applied ML techniques used pragmatically to solve product or game questions.

Plusses:

• Curiosity and a habit of exploring new analytical methods or tools when appropriate.
• Experience with A/B testing or experimental design.
• Familiarity with version control workflows (e.g., Git) and reproducible analysis practices.

Interested?

If you think you’re up for the challenge, we’d love to hear from you! You can apply by hitting the “apply now” button. Be sure to submit your CV and cover letter.

Please note: This position is based in our studio in the heart of Amsterdam. Guerrilla offers relocation and immigration support.

At Guerrilla, we believe that our team’s varied backgrounds, experiences, and perspectives help us create games that resonate with a diverse audience.

As an equal opportunities employer, we strive to create an inclusive environment, empower employees and embrace diversity.

We encourage everyone to respond as we consider all candidates on the basis of their merit, unique strengths, and perspectives they will bring to the role.

Available Location: London, Lisbon, Munich or Amsterdam

About the Role

We are seeking a highly accomplished and strategic Account Executive to join our Enterprise/Field Sales team. In this advanced role, you will be pivotal in driving significant growth by leading comprehensive sales cycles within a portfolio of assigned enterprise-level clients, and strategically acquiring new logos. The ideal candidate possesses a deep blend of advanced sales acumen and sophisticated technical understanding, enabling them to lead engagements at all levels, from the C-suite to technical leaders (e.g., Head of/VP of Networking or Security).

As an Account Executive, you will consistently demonstrate advanced proficiency in all sales activities, ensuring highly accurate forecasting, proactive and strategic pipeline management, and consistently exceeding attainment targets. You will be a subject matter expert, speaking fluently about Cloudflare's products, features, benefits, and use cases across diverse customer segments. This role demands the ability to deeply understand complex customer IT Architectures, match them with relevant Cloudflare Reference Architectures, and orchestrate successful, large-scale platform sales. You will be a key driver of digital transformation for our customers, understanding their broader market trends and how Cloudflare uniquely enables their strategic initiatives.

Focus: CIS
NOTE: Candidates must have experience with the following regions/countries: Uzbekistan, Kazakhstan and Azerbaijan

What You'll Do

• Strategic Revenue Generation: Architect and execute advanced territory and account plans to consistently exceed multi-million dollar sales targets and annual quotas, with a strong focus on new business acquisition and expansion within complex enterprise environments.
• Expert Pipeline & Forecasting: Lead proactive and strategic pipeline management efforts, demonstrating a sophisticated understanding of sales cycles and customer buying processes. Deliver highly accurate forecasts, providing clear insights and strategic guidance to sales leadership.
• Deep Customer & IT Architecture Understanding: Develop a profound understanding of customers' IT architectures, including applications and third-party technologies. Architect and align Cloudflare Reference Architectures to customer environments, driving comprehensive platform solutions.
• Multi-Engagement Leadership: Orchestrate and manage multiple complex customer engagements simultaneously across various business units within an organization. Strategically connect disparate needs to strengthen Cloudflare's platform sale, actively involving and influencing technical C-level minus one executives.
• Virtual Team Leadership: Set clear direction and lead a virtual team of in-GEO specialists, Product Managers, Deal Desk, and Legal to collaboratively manage and close complex customer opportunities. Proactively identify and navigate through situations to address colleague and customer needs, escalating as appropriate to drive urgency and efficient delivery.
• Digital Transformation Authority: Act as an authority on digital transformation, understanding key drivers (e.g., new offering development, enhanced customer capabilities) and the broader market trends influencing these decisions. Position Cloudflare as a critical enabler of these transformations.
• Compelling Value Creation: Articulate highly compelling, strategic value propositions for Cloudflare's services, directly linking them to customer business outcomes and strategic objectives. Lead with a strong focus on the "why," communicating the whole picture to both internal and external stakeholders.
• Advanced Negotiation & Closure: Expertly lead and navigate complex contract negotiations, driving win-win scenarios for all parties. Demonstrate advanced closing skills across new business and expansion opportunities.
• Trusted Advisor & Coach: Build long-term, executive-level strategic relationships, ensuring deep customer adoption, retention, and expansion. Consistently provide clear, direct, and constructive feedback to team members, coaching them to improve communication, learn from mistakes, and enhance the quality of work. Share learnings proactively to build trust across the organization.
• Organizational Impact & Leadership: Consistently focus on the long-term needs of the team and the business, understanding how decisions impact other teams and openly sharing these insights. Leverage company-wide learnings to improve department and team execution. Serve as a leader within Cloudflare, making significant contributions while elevating the work of others by bringing diverse perspectives and strategic long-term thinking.

Examples of Desirable Skills, Knowledge, and Experience

• Fluency in Russian and English
• 8+ years of advanced experience selling complex technology solutions in the CIS region (particularly Uzbekistan, Kazakhstan and Azerbaijan), with a significant track record of consistently exceeding multi-million dollar quota targets.
• Deep expertise and fluency in Cloud Networking, Security, and Edge Computing technologies, with an exceptional ability to articulate features, benefits, and use cases across diverse customer segments (e.g., SMBs, enterprise, vertical markets).
• Proven ability to deeply understand complex customer IT architectures and effectively map them to Cloudflare Reference Architectures for successful platform sales.
• Demonstrated success leading and influencing virtual cross-functional teams (e.g., Solution Engineers, Product Managers, Legal) to drive complex deals to closure.
• Exceptional strategic communication and presentation skills, with a focus on articulating the "why" and conveying the whole picture to executive leadership and technical decision-makers (C-level minus one).
• Advanced negotiation skills with a track record of closing large, complex, six-figure and multi-million dollar deals.
• Expert-level sales acumen: unparalleled proficiency in discovery, positioning, competitive selling, negotiation, closing, and expansion strategies within enterprise accounts.
• Authority on digital transformation trends and their impact on enterprise customers, with the ability to position Cloudflare as a key enabler of strategic business outcomes.
• Strong coaching and mentorship abilities, with a passion for helping colleagues grow and improve.
• Highly self-motivated, entrepreneurial, and resilient, thriving in a fast-paced, high-growth environment with a consistent focus on long-term goals.
• Proficiency in advanced sales and business intelligence platforms (e.g., Salesforce, Tableau, G-suite, MSFT suite, MEDDPICC framework application).
• Bachelor's degree required, with a technical background (e.g., engineering, computer science, MIS) highly preferred.
• Ability to travel as required to engage with key customers and internal teams.

Available Location: Lisbon, London, Amsterdam, Munich

About the Role

We are seeking a highly accomplished and strategic Account Executive to join our Enterprise/Field Sales team. In this advanced role, you will be pivotal in driving significant growth by leading comprehensive sales cycles within a portfolio of assigned enterprise-level clients, and strategically acquiring new logos. The ideal candidate possesses a deep blend of advanced sales acumen and sophisticated technical understanding, enabling them to lead engagements at all levels, from the C-suite to technical leaders (e.g., Head of/VP of Networking or Security).

As an Account Executive, you will consistently demonstrate advanced proficiency in all sales activities, ensuring highly accurate forecasting, proactive and strategic pipeline management, and consistently exceeding attainment targets. You will be a subject matter expert, speaking fluently about Cloudflare's products, features, benefits, and use cases across diverse customer segments. This role demands the ability to deeply understand complex customer IT Architectures, match them with relevant Cloudflare Reference Architectures, and orchestrate successful, large-scale platform sales. You will be a key driver of digital transformation for our customers, understanding their broader market trends and how Cloudflare uniquely enables their strategic initiatives.

What You'll Do

• Strategic Revenue Generation: Architect and execute advanced territory and account plans to consistently exceed multi-million dollar sales targets and annual quotas, with a strong focus on new business acquisition and expansion within complex enterprise environments.
• Expert Pipeline & Forecasting: Lead proactive and strategic pipeline management efforts, demonstrating a sophisticated understanding of sales cycles and customer buying processes. Deliver highly accurate forecasts, providing clear insights and strategic guidance to sales leadership.
• Deep Customer & IT Architecture Understanding: Develop a profound understanding of customers' IT architectures, including applications and third-party technologies. Architect and align Cloudflare Reference Architectures to customer environments, driving comprehensive platform solutions.
• Multi-Engagement Leadership: Orchestrate and manage multiple complex customer engagements simultaneously across various business units within an organization. Strategically connect disparate needs to strengthen Cloudflare's platform sale, actively involving and influencing technical C-level minus one executives.
• Virtual Team Leadership: Set clear direction and lead a virtual team of in-GEO specialists, Product Managers, Deal Desk, and Legal to collaboratively manage and close complex customer opportunities. Proactively identify and navigate through situations to address colleague and customer needs, escalating as appropriate to drive urgency and efficient delivery.
• Digital Transformation Authority: Act as an authority on digital transformation, understanding key drivers (e.g., new offering development, enhanced customer capabilities) and the broader market trends influencing these decisions. Position Cloudflare as a critical enabler of these transformations.
• Compelling Value Creation: Articulate highly compelling, strategic value propositions for Cloudflare's services, directly linking them to customer business outcomes and strategic objectives. Lead with a strong focus on the "why," communicating the whole picture to both internal and external stakeholders.
• Advanced Negotiation & Closure: Expertly lead and navigate complex contract negotiations, driving win-win scenarios for all parties. Demonstrate advanced closing skills across new business and expansion opportunities.
• Trusted Advisor & Coach: Build long-term, executive-level strategic relationships, ensuring deep customer adoption, retention, and expansion. Consistently provide clear, direct, and constructive feedback to team members, coaching them to improve communication, learn from mistakes, and enhance the quality of work. Share learnings proactively to build trust across the organization.
• Organizational Impact & Leadership: Consistently focus on the long-term needs of the team and the business, understanding how decisions impact other teams and openly sharing these insights. Leverage company-wide learnings to improve department and team execution. Serve as a leader within Cloudflare, making significant contributions while elevating the work of others by bringing diverse perspectives and strategic long-term thinking.

Examples of Desirable Skills, Knowledge, and Experience

• 8+ years of advanced experience selling complex technology solutions in a B2B enterprise model in Israel, with a significant track record of consistently exceeding multi-million dollar quota targets.
• Deep expertise and fluency in Cloud Networking, Security, and Edge Computing technologies, with an exceptional ability to articulate features, benefits, and use cases across diverse customer segments (e.g., SMBs, enterprise, vertical markets).
• Proven ability to deeply understand complex customer IT architectures and effectively map them to Cloudflare Reference Architectures for successful platform sales.
• Demonstrated success leading and influencing virtual cross-functional teams (e.g., Solution Engineers, Product Managers, Legal) to drive complex deals to closure.
• Exceptional strategic communication and presentation skills, with a focus on articulating the "why" and conveying the whole picture to executive leadership and technical decision-makers (C-level minus one).
• Advanced negotiation skills with a track record of closing large, complex, six-figure and multi-million dollar deals.
• Expert-level sales acumen: unparalleled proficiency in discovery, positioning, competitive selling, negotiation, closing, and expansion strategies within enterprise accounts.
• Authority on digital transformation trends and their impact on enterprise customers, with the ability to position Cloudflare as a key enabler of strategic business outcomes.
• Strong coaching and mentorship abilities, with a passion for helping colleagues grow and improve.
• Highly self-motivated, entrepreneurial, and resilient, thriving in a fast-paced, high-growth environment with a consistent focus on long-term goals.
• Proficiency in advanced sales and business intelligence platforms (e.g., Salesforce, Tableau, G-suite, MSFT suite, MEDDPICC framework application).
• Bachelor's degree required, with a technical background (e.g., engineering, computer science, MIS) highly preferred.
• Ability to travel as required to engage with key customers and internal teams.
• Language Skills: English & Hebrew

Job Summary: 

The Regional Financial Controller (Europe) acts as the financial leader for the European market. This role is responsible for financial governance, performance management, and strategic financial planning across the region.

The position reports to the VP Finance (Global) and with a dotted line to Regional GM (Europe), ensuring strong alignment between global financial standards and regional business execution.

This role combines hands-on financial control with forward-looking financial analytics, supporting scalable growth and long-term value creation in the EU market.

Job Expectations

1. Regional Financial Leadership 

• Act as the finance lead for Europe, partnering closely with the Regional GM & Leadership team
• Provide strategic financial guidance on growth initiatives, investments, and market expansion
• Represent Finance in regional leadership discussions and annual planning cycles with HQ
• Translate global financial strategy into regional execution

2. Financial Planning & Performance Management

• Lead annual budgeting, forecasting, and long-range planning for the European region
• Own P&L performance, variance analysis, and actionable insights
• Drive financial discipline and KPI tracking across markets
• Support scenario planning and investment prioritization

3. Financial Analytics & Data Foundation

• Build and scale a robust financial data infrastructure to support EU growth plans
• Develop advanced financial analytics and dashboards for decision-making
• Identify trends in customer behavior, pricing, and category performance
• Partner with data and commercial teams to enhance profitability insights

4. Controllership & Compliance

• Ensure accurate financial reporting, compliance, and adherence to global policies
• Manage the quarterly (rolling 90 days) forecasting process for EU, and aligns with global
• Oversee internal controls, audit processes, and risk management
• Manage local statutory requirements across European entities
• Act as a key interface with global finance, tax, and audit teams

5. Business Partnering

• Serve as a trusted advisor to regional commercial, operations, and supply chain teams
• Support pricing strategies, promotions, and margin optimization
• Drive cost efficiency initiatives and operational improvements
• Align financial goals with commercial execution

6. Team Leadership (Future Scope)

• Build and lead a regional finance team as the organization scales (e.g. Account)
• Develop finance capabilities in analytics, planning, and controllership

 Knowledge, Skills and Abilities:

Experience

• 10+ years of progressive finance experience, including:
• • Financial planning & analysis (FP&A)
  • Controllership / Big Four public accounting exposure
  • Business partnering in commercial environments
• Experience in consumables industries strongly preferred like Grocery, Health & Wellness, or Beauty / Personal care.
• Prior experience in regional or multi-country roles (Europe preferred).
• Experience with Adaptive Planning (FP&A software), SAP (ERP), Tableau (BI tool) is a strong plus.
• Experience in high-growth or e-commerce environments is a strong plus.

Skills & Competencies

• Strong financial acumen with strategic mindset
• Ability to operate as a “CFO” in a regional setup
• Advanced analytical and data-driven decision-making skills
• Strong stakeholder management across global and regional leadership
• Ability to balance hands-on execution with strategic leadership

Education

• Degree in Finance, Accounting, or related field
• MBA, CPA, ACA, or equivalent preferred

#LI-ME1

Job Summary

The Regional Senior Category Manager is responsible for leading the evaluating, curating, and expanding the product assortment for the European region. This includes identifying high-potential brands, developing vendor partnerships, securing competitive commercial terms, and using data-driven insights to drive category and revenue growth. 

The role requires strong commercial judgement and the ability to balance strategic thinking with hands-on execution. The Regional Senior Buyer sources and manages brands that meet customer needs, comply with regional requirements, and align with market trends within Europe.

Job Expectations:

• Work closely with the Senior Director Merchandising and collaborate with global merchandising teams as needed, to align on business strategies, priorities, and category direction
• Partner with in-market leadership, including Region Leaders (dotted line), to build and maintain an assortment relevant to the market
• Own key category metrics (KPIs) for new and existing brands, including pricing, gross margin, product mix, promotions and full product lifecycle, while driving continuous improvement 
• Understand and navigate Europe-specific compliance, regulatory and supply-chain requirements to ensure proper and compliant buying practices
• Partner with Compliance, Regulatory teams to manage catalog additions, documentation, and approvals for the region
• Procure products directly from manufacturers or authorized distributors, following company policies and regional sourcing standards
• Negotiate competitive commercial terms, including everyday pricing, marketing budgets, rebates, accruals, delivery schedules, and volume agreements
• Build and maintain strong vendor relationships to support innovation, margin improvement, and consistent communication on capabilities and expectations
• Manage vendor contracts, product evaluation, and issue resolution in collaboration with cross-functional partners
• Drive new product and brand onboarding to ensure timely and accurate integration into the European assortment
• Occasional availability to attend US-based, Pacific time zone meetings
• Monitor and evaluate pricing, cost, and system adjustments to maintain required mark-ups and margin performance
• Partner with Inventory Management and Planning to align on forecasts, inventory turns, vendor performance, and order cycles
• Collaborate with Marketing to develop profitable and effective promotional co-op activities
• Use category reports and analytics to identify opportunities, guide decision-making, and support long-term business growth
• Adhere to company policies regarding safety, business ethics, and standards of conduct
• Support and develop Assistant Buyers, providing guidance and tools for success 

The duties and responsibilities described above may provide only a partial description of this position. This is not an exhaustive list of all aspects of the job.  Other duties and responsibilities not outlined in this document may be added as necessary or desirable, with or without notice.

Knowledge, Skills and Abilities:

Required:         

• Strong and proven negotiation skills with the ability to secure competitive commercial terms
• Advanced analytical, data-interpretation, and decision-making abilities
• Strong understanding of retail pricing structures, margin dynamics, and category commercial drivers
• Excellent written and verbal communication skills, ability to influence at all levels across internal and external stakeholders
• High attention to detail with strong organizational and project management capabilities
• Ability to manage multiple priorities, solve problems, and make sound judgments in a fast-paced environment
• Strong cross-functional collaboration skills, particularly with Merchandising, Planning, Compliance and Marketing

Equipment Knowledge:

• Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint)
• Experience with Google Workspace (Gmail, Drive, Docs, Sheets, Forms) preferred
• Experience with EDI, WMS, SAP, Asana, or Tableau is a plus

Experience Requirements:

10+ Years of progressive experience in category management, merchandising, or a directly related commercial role, ideally in an international or regional e-commerce environment. 

Pan-European experience preferred

Education Requirements: 

Bachelor’s Degree in Business, Merchandising or related field preferred, or a combination of education and equivalent work experience.

The role: What's in the Box

Our Marketing Analytics team sits at the heart of HelloFresh Benelux, turning data into the decisions that drive how we grow, retain, and delight our customers. We're looking for a Marketing Analyst to join us on an interim basis, covering a maternity leave. 

Reporting to the Team Lead of Marketing Analytics at Benelux, you'll help our marketing teams understand what's working, what isn't, and where the biggest opportunities lie across customer acquisition, reactivation, and campaign performance. You'll have real influence on strategic decisions made by stakeholders. If you thrive at the intersection of data, business, and storytelling, this role was made for you.

What you’ll do: The Recipe

• Uncover and communicate insights across customer acquisition, reactivation, and campaign performance to help our Marketing teams make smarter, faster decisions
• Translate business questions into structured analyses — partnering closely with cross-functional stakeholders to frame problems clearly and deliver findings that actually move the needle
• Build and maintain dashboards, reports, and AB test frameworks that give our teams ongoing visibility into what's performing and why
• Deep-dive into pricing and discount dynamics to understand their impact on customer behaviour, retention, and profitability — and surface concrete recommendations for improvement
• Present your work to stakeholders of varying seniority, including domain leads, in a clear and compelling way that bridges data and business implications
• Champion analytical best practices within the team by sharing knowledge, contributing to tooling and documentation, and helping grow our collective capabilities

What you’ll bring: The Ingredients

• 3+ years of experience in data analytics or marketing analytics, ideally in a consumer-facing or fast-moving environment (e.g. scale-up, consultancy, or data-driven corporate)
• Strong SQL skills and hands-on experience with Python for data manipulation and analysis
• Proven ability to structure analyses end-to-end — from scoping a business problem to delivering a clear, actionable recommendation
• Experience with data visualisation tools such as Tableau, Looker, or Google Looker Studio, and comfort working with statistical methods like regression modelling or AB testing
• A collaborative, communicative working style — you're comfortable working independently but know how to bring people along, including when working across local and global teams

Above all, we are looking for people who will make HelloFresh better. There are many different ways of developing skills, and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

Commercial information

• This role is offered on a freelance basis; standard employee benefits do not apply.
• All costs and expenses (including travel or commuting) must be included in the proposed hourly rate. Hourly rates should be communicated excluding VAT.
• All contingent workers engaged by HelloFresh must hold valid professional liability insurance that is valid in the Netherlands. If we decide to move forward together and you are not yet insured, you will be required to arrange this insurance before starting the assignment.

What we offer: The Toppings

• Working environment & collaboration: You’ll work in a fast-paced, international environment alongside experienced professionals from diverse backgrounds. We value clear communication, ownership, and initiative, and we encourage you to contribute ideas, challenge the status quo, and help improve how we work together.
• Impact & autonomy: You’ll have the freedom to organize your work independently within agreed scopes and deliverables, while collaborating closely with your key stakeholders. We focus on outcomes rather than hours, and we appreciate proactive professionals who take responsibility for their work.
• Lunch & Office: When working from our Amsterdam office, you’ll join freshly prepared lunches for €3 per day and take part in our open, informal office culture.

Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.

Reports To

Senior Director, Roaming Partnerships and Integrations

What You Will Be Doing

The Roaming Partner Management team is a specialist team within ChargePoint who are responsible for maintaining, strengthening, and growing ChargePoint’s 700+ roaming and OCPI-based partnerships across Europe and North America. This team meets and works with partners proactively and reactively on key business-related issues. It builds new relationships with market players, negotiates and manages agreements, and is overall responsible for the health of these partners which we are connected to via various APIs. This team is supported by various other functions in the business, including the Roaming Operations team, Customer Excellence team, Finance team, and Legal team.

What You Will Bring to ChargePoint

This role will lead a team of 1-3 specialists to build new relationships with key Charge Point Operators (CPOs), e-Mobility Service Providers (eMSPs), and other entities (e.g. mapping services) that would connect to ChargePoint’s software platform via API. The successful candidate will sign new agreements and work with our Roaming Operations team to implement new APIs to the partners.

The candidate will also manage some existing relationships, for example partners connected through clearing houses, and may be involved in tasks associated with managing these integrations (e.g. tariff and data management, contract reviews, working with partners to resolve production issues).

The role may also have an advisory function, helping large ChargePoint customers to navigate the public charging ecosystem and brokering discussions between customers and other leading external partners.

The successful candidate will interact with a range of software tools used internally, including Salesforce, Confluence, Tableau, and Jira, as well as custom-built interfaces. They may also interact with tools developed by our partners, including Hubject, Gireve, and eClearing.

Requirements

• At least 5 years of previous experience in partnership management or business development, or similar experience that demonstrates a capacity to build and manage relationships, influence stakeholders, and negotiate agreements.
• Previous experience in a SaaS company or within the automotive, energy or CleanTech industry. Previous roaming-related (e.g. OCPI) knowledge a plus
•  The capacity to build expert knowledge of our roaming services and functionality.
•  A customer-centric and problem-solving mindset, with a willingness and ability to own problems to their resolution.
• Demonstrated ability to work with software tools such as Salesforce, Jira, Confluence, and Excel. Experience with tools such as Atlan, Tableau, Kibana and other similar platforms is a plus.
• Excellent communication skills in English, both written and spoken (any additional language is a plus, particularly German)
• Willingness to travel internationally occasionally for workshops with internal stakeholders, partners, or customers (within Europe)

Location

United Kingdom, Germany, Austria, Netherlands 

#LI-KD1 

Reports To

Senior Director, Roaming Partnerships and Integrations

What You Will Be Doing

The Roaming Partner Management team is a specialist team within ChargePoint who are responsible for maintaining, strengthening, and growing ChargePoint’s 700+ roaming and OCPI-based partnerships across Europe and North America. This team meets and works with partners proactively and reactively on key business-related issues. It builds new relationships with market players, negotiates and manages agreements, and is overall responsible for the health of these partners which we are connected to via various APIs. This team is supported by various other functions in the business, including the Roaming Operations team, Customer Excellence team, Finance team, and Legal team.

What You Will Bring to ChargePoint

This role will lead a team of 1-3 specialists to build new relationships with key Charge Point Operators (CPOs), e-Mobility Service Providers (eMSPs), and other entities (e.g. mapping services) that would connect to ChargePoint’s software platform via API. The successful candidate will sign new agreements and work with our Roaming Operations team to implement new APIs to the partners.

The candidate will also manage some existing relationships, for example partners connected through clearing houses, and may be involved in tasks associated with managing these integrations (e.g. tariff and data management, contract reviews, working with partners to resolve production issues).

The role may also have an advisory function, helping large ChargePoint customers to navigate the public charging ecosystem and brokering discussions between customers and other leading external partners.

The successful candidate will interact with a range of software tools used internally, including Salesforce, Confluence, Tableau, and Jira, as well as custom-built interfaces. They may also interact with tools developed by our partners, including Hubject, Gireve, and eClearing.

Requirements

• At least 5 years of previous experience in partnership management or business development, or similar experience that demonstrates a capacity to build and manage relationships, influence stakeholders, and negotiate agreements.
• Previous experience in a SaaS company or within the automotive, energy or CleanTech industry. Previous roaming-related (e.g. OCPI) knowledge a plus
•  The capacity to build expert knowledge of our roaming services and functionality.
•  A customer-centric and problem-solving mindset, with a willingness and ability to own problems to their resolution.
• Demonstrated ability to work with software tools such as Salesforce, Jira, Confluence, and Excel. Experience with tools such as Atlan, Tableau, Kibana and other similar platforms is a plus.
• Excellent communication skills in English, both written and spoken (any additional language is a plus, particularly German)
• Willingness to travel internationally occasionally for workshops with internal stakeholders, partners, or customers (within Europe)

Location

United Kingdom, Germany, Austria, Netherlands 

#LI-KD1 

Reports To

Senior Director, Roaming Partnerships and Integrations

What You Will Be Doing

The Roaming Partner Management team is a specialist team within ChargePoint who are responsible for maintaining, strengthening, and growing ChargePoint’s 700+ roaming and OCPI-based partnerships across Europe and North America. This team meets and works with partners proactively and reactively on key business-related issues. It builds new relationships with market players, negotiates and manages agreements, and is overall responsible for the health of these partners which we are connected to via various APIs. This team is supported by various other functions in the business, including the Roaming Operations team, Customer Excellence team, Finance team, and Legal team.

What You Will Bring to ChargePoint

This role will lead a team of 1-3 specialists to build new relationships with key Charge Point Operators (CPOs), e-Mobility Service Providers (eMSPs), and other entities (e.g. mapping services) that would connect to ChargePoint’s software platform via API. The successful candidate will sign new agreements and work with our Roaming Operations team to implement new APIs to the partners.

The candidate will also manage some existing relationships, for example partners connected through clearing houses, and may be involved in tasks associated with managing these integrations (e.g. tariff and data management, contract reviews, working with partners to resolve production issues).

The role may also have an advisory function, helping large ChargePoint customers to navigate the public charging ecosystem and brokering discussions between customers and other leading external partners.

The successful candidate will interact with a range of software tools used internally, including Salesforce, Confluence, Tableau, and Jira, as well as custom-built interfaces. They may also interact with tools developed by our partners, including Hubject, Gireve, and eClearing.

Requirements

• At least 5 years of previous experience in partnership management or business development, or similar experience that demonstrates a capacity to build and manage relationships, influence stakeholders, and negotiate agreements.
• Previous experience in a SaaS company or within the automotive, energy or CleanTech industry. Previous roaming-related (e.g. OCPI) knowledge a plus
•  The capacity to build expert knowledge of our roaming services and functionality.
•  A customer-centric and problem-solving mindset, with a willingness and ability to own problems to their resolution.
• Demonstrated ability to work with software tools such as Salesforce, Jira, Confluence, and Excel. Experience with tools such as Atlan, Tableau, Kibana and other similar platforms is a plus.
• Excellent communication skills in English, both written and spoken (any additional language is a plus, particularly German)
• Willingness to travel internationally occasionally for workshops with internal stakeholders, partners, or customers (within Europe)

Location

United Kingdom, Germany, Austria, Netherlands 

#LI-KD1 

Reports To

Senior Director, Roaming Partnerships and Integrations

What You Will Be Doing

The Roaming Partner Management team is a specialist team within ChargePoint who are responsible for maintaining, strengthening, and growing ChargePoint’s 700+ roaming and OCPI-based partnerships across Europe and North America. This team meets and works with partners proactively and reactively on key business-related issues. It builds new relationships with market players, negotiates and manages agreements, and is overall responsible for the health of these partners which we are connected to via various APIs. This team is supported by various other functions in the business, including the Roaming Operations team, Customer Excellence team, Finance team, and Legal team.

What You Will Bring to ChargePoint

This role will lead a team of 1-3 specialists to build new relationships with key Charge Point Operators (CPOs), e-Mobility Service Providers (eMSPs), and other entities (e.g. mapping services) that would connect to ChargePoint’s software platform via API. The successful candidate will sign new agreements and work with our Roaming Operations team to implement new APIs to the partners.

The candidate will also manage some existing relationships, for example partners connected through clearing houses, and may be involved in tasks associated with managing these integrations (e.g. tariff and data management, contract reviews, working with partners to resolve production issues).

The role may also have an advisory function, helping large ChargePoint customers to navigate the public charging ecosystem and brokering discussions between customers and other leading external partners.

The successful candidate will interact with a range of software tools used internally, including Salesforce, Confluence, Tableau, and Jira, as well as custom-built interfaces. They may also interact with tools developed by our partners, including Hubject, Gireve, and eClearing.

Requirements

• At least 5 years of previous experience in partnership management or business development, or similar experience that demonstrates a capacity to build and manage relationships, influence stakeholders, and negotiate agreements.
• Previous experience in a SaaS company or within the automotive, energy or CleanTech industry. Previous roaming-related (e.g. OCPI) knowledge a plus
•  The capacity to build expert knowledge of our roaming services and functionality.
•  A customer-centric and problem-solving mindset, with a willingness and ability to own problems to their resolution.
• Demonstrated ability to work with software tools such as Salesforce, Jira, Confluence, and Excel. Experience with tools such as Atlan, Tableau, Kibana and other similar platforms is a plus.
• Excellent communication skills in English, both written and spoken (any additional language is a plus, particularly German)
• Willingness to travel internationally occasionally for workshops with internal stakeholders, partners, or customers (within Europe)

Location

United Kingdom, Germany, Austria, Netherlands 

#LI-KD1 

The role: What's in the Box

Factor Europe is scaling rapidly, and we are looking for a high-agency Product Analyst to be the first dedicated data hire within our Product team.

In this role, you will dive deep into our most pressing questions on our path to Product-Market Fit: honing in on the problems our customers face, what product decisions drive their behaviour, and why we are winning (or losing) with specific segments. You will be the technical bridge for a small, flat Product team (comprising Culinary R&D, Nutrition, Menu Planning, and Strategy), helping us define our product roadmap and continuously improve the customer experience.

This is an early stage opportunity for an analyst who wants to build. The Factor Europe team operates with the agility and urgency of a startup, but the resources and infrastructure of the HelloFresh Group. If that sounds like the perfect mix for you, we’d love to chat!

What you’ll do: The Recipe

1. Deep-Dive Research & Insights

• Perform in-depth analyses (e.g. cohort analysis, A/B tests) to evaluate the impact of every physical product decision we make, identifying which recipe / menu changes drive customer retention.
• Tackle complex and open-ended research questions, helping us validate leading hypotheses about our customers’ needs and behaviours, translating messy (and often imperfect) data into clear, digestible narratives.
• Triangulate quantitative data with qualitative feedback (customer reviews, sensory testing, and surveys) to build a 360-degree view of the customer.
• Proactively seek out and identify opportunities to improve our customer offering through independent research and analysis. 

2. Infrastructure & Tool Building

• Build and maintain the queries, dashboards, and automated GSheet tools that empower the rest of the Product team to find their own answers.
• Support the creation and tracking of relevant metrics that will help explain the causal relationship between our team’s weekly actions, customer engagement, and business performance.
• Automate repetitive data tasks, ensuring the team spends less time updating trackers and more time improving our product offering.

3. Be a Data Champion

• Build a culture of data-drivenness by promoting data literacy, quality, and best practice within the team.
• Improve and automate our weekly business performance review process, ensuring data is reliable and available, making this the most valuable meeting of the week.
• Serve as a data champion beyond the Product team, supporting in automating processes and conducting cross-functional analysis where Product intersects with Production and Procurement.

What you’ll bring: The Ingredients

• Bias for action: You don’t wait for research questions to come to you; you are curious about what makes our business successful and are constantly looking for insights that will give our team an edge. 
• Resourceful: You don’t get stuck easily: you dig, ask questions, and find a workaround to keep the project moving, even when data tables are messy or undocumented.
• A storyteller: You understand that data is useless if it isn’t understood; you make complex analysis digestible and actionable for everyone, from our Chefs to senior leadership.
• A builder: You thrive in the ambiguity of a pre-product/market fit environment, and get satisfaction from building the infrastructure (e.g. a tool or a sheet) that makes your teammates’ lives easier. 
• Intellectually curious: You aren’t satisfied with “what” happened; you are focused on “why” it happened.
• Customer-obsessed: You’re able to move beyond the data and think through the real-world experience of our customers, building empathy for what delights and frustrates them
• Technical proficiency: Mastery of Excel/GSheets and SQL is a must. You should be comfortable using Python for data manipulation and Tableau for data visualization. Curiosity for and familiarity with AI tools is a major plus.
• Experience: 2-4 years of experience in a Product Analytics, Data Analytics, or highly quantitative Business Intelligence role. Experience in a high-growth startup, subscription / e-commerce, and/or FMCG environment is a major plus.
• Analytical rigour: You know how to structure an experiment, identify biases in data, and ensure that your insights are statistically sound.

Above all, we are looking for people who will make HelloFresh better. There are many different ways of developing skills, and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.

What we offer: The Toppings

Compensation & Financial Wellbeing

• Enjoy 20% off HelloFresh and 40% off Factor_ subscriptions.
• Access the "Benefits at Work" platform for discounts on brands like Nike, Bol.com, and IKEA. 
• You'll receive a HelloFresh laptop, a €250 home office setup budget, and contribute to the Bedrijfspensioenfonds Levensmiddelen pension scheme (2026 rate 27.6%; employer pays 19.64%, employee pays 7.96%).

Health & Wellbeing

• Benefit from discounts on ClassPass and gym memberships via Bedrijfsfitness Nederland, free bootcamp classes (Amsterdam), and free subscriptions to Headspace and OpenUp.
• Get a 7,5% discount on additional health insurance at Zilveren Kruis in 2025.

Flexibility & Work-Life

• Work flexibly with our hybrid setup (50% office, 50% remote), plus a €2.40 daily remote work allowance.
• Receive 24 days of annual leave (pro-rated), plus one additional day per year of service (up to 30 days total).
• Full reimbursement for 2nd-class public transport to the office, plus €0.23 per km for car and bicycle travel.
• Eligible employees can work from another country for up to 8 weeks per year.

Career & Development

• Grow with our "Learning Never Stops" mindset:  access internal/external opportunities, and join our cross-market mentoring program.
• A dedicated annual budget to help you keep learning, developing new skills, and growing your career.

Culture & Environment

• Enjoy fresh homemade lunches in the office (€3.00/day), weekly vrij-mi-bo (Friday drinks), quarterly strategy sessions, and team events.

About HelloFresh

HelloFresh is on a mission to change the way people eat, forever!

Since our 2011 founding in Europe’s vibrant tech hub, Berlin, we’ve become the world's leading meal kit provider, delivering to over 4.2 million households worldwide in 15 countries across 3 continents. 

Our more than 15,000 employees from over 70+ nationalities are the heart and soul of our diverse, fast-paced and dynamic environment where innovation and smart, fast action is encouraged. 

We will encourage you to make an immediate impact in your area of work as well as empower you to grow your career with us.

Are you up for the challenge?

Please submit your complete application below including your salary expectations and earliest starting date.

After submitting an application our team will review this and get back to you within 5 business days. 

#factor

#JD1008

The role: What's in the Box

Factor Europe is scaling rapidly, and we are looking for a high-agency Product Analyst to be the first dedicated data hire within our Product team.

In this role, you will dive deep into our most pressing questions on our path to Product-Market Fit: honing in on the problems our customers face, what product decisions drive their behaviour, and why we are winning (or losing) with specific segments. You will be the technical bridge for a small, flat Product team (comprising Culinary R&D, Nutrition, Menu Planning, and Strategy), helping us define our product roadmap and continuously improve the customer experience.

This is an early stage opportunity for an analyst who wants to build. The Factor Europe team operates with the agility and urgency of a startup, but the resources and infrastructure of the HelloFresh Group. If that sounds like the perfect mix for you, we’d love to chat!

What you’ll do: The Recipe

1. Deep-Dive Research & Insights

• Perform in-depth analyses (e.g. cohort analysis, A/B tests) to evaluate the impact of every physical product decision we make, identifying which recipe / menu changes drive customer retention.
• Tackle complex and open-ended research questions, helping us validate leading hypotheses about our customers’ needs and behaviours, translating messy (and often imperfect) data into clear, digestible narratives.
• Triangulate quantitative data with qualitative feedback (customer reviews, sensory testing, and surveys) to build a 360-degree view of the customer.
• Proactively seek out and identify opportunities to improve our customer offering through independent research and analysis. 

2. Infrastructure & Tool Building

• Build and maintain the queries, dashboards, and automated GSheet tools that empower the rest of the Product team to find their own answers.
• Support the creation and tracking of relevant metrics that will help explain the causal relationship between our team’s weekly actions, customer engagement, and business performance.
• Automate repetitive data tasks, ensuring the team spends less time updating trackers and more time improving our product offering.

3. Be a Data Champion

• Build a culture of data-drivenness by promoting data literacy, quality, and best practice within the team.
• Improve and automate our weekly business performance review process, ensuring data is reliable and available, making this the most valuable meeting of the week.
• Serve as a data champion beyond the Product team, supporting in automating processes and conducting cross-functional analysis where Product intersects with Production and Procurement.

What you’ll bring: The Ingredients

• Bias for action: You don’t wait for research questions to come to you; you are curious about what makes our business successful and are constantly looking for insights that will give our team an edge. 
• Resourceful: You don’t get stuck easily: you dig, ask questions, and find a workaround to keep the project moving, even when data tables are messy or undocumented.
• A storyteller: You understand that data is useless if it isn’t understood; you make complex analysis digestible and actionable for everyone, from our Chefs to senior leadership.
• A builder: You thrive in the ambiguity of a pre-product/market fit environment, and get satisfaction from building the infrastructure (e.g. a tool or a sheet) that makes your teammates’ lives easier. 
• Intellectually curious: You aren’t satisfied with “what” happened; you are focused on “why” it happened.
• Customer-obsessed: You’re able to move beyond the data and think through the real-world experience of our customers, building empathy for what delights and frustrates them
• Technical proficiency: Mastery of Excel/GSheets and SQL is a must. You should be comfortable using Python for data manipulation and Tableau for data visualization. Curiosity for and familiarity with AI tools is a major plus.
• Experience: 2-4 years of experience in a Product Analytics, Data Analytics, or highly quantitative Business Intelligence role. Experience in a high-growth startup, subscription / e-commerce, and/or FMCG environment is a major plus.
• Analytical rigour: You know how to structure an experiment, identify biases in data, and ensure that your insights are statistically sound.

Above all, we are looking for people who will make HelloFresh better. There are many different ways of developing skills, and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

Are you the missing ingredient? If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.

What we offer: The Toppings

Compensation & Financial Wellbeing

• Enjoy 20% off HelloFresh and 40% off Factor_ subscriptions.
• Access the "Benefits at Work" platform for discounts on brands like Nike, Bol.com, and IKEA. 
• You'll receive a HelloFresh laptop, a €250 home office setup budget, and contribute to the Bedrijfspensioenfonds Levensmiddelen pension scheme (2026 rate 27.6%; employer pays 19.64%, employee pays 7.96%).

Health & Wellbeing

• Benefit from discounts on ClassPass and gym memberships via Bedrijfsfitness Nederland, free bootcamp classes (Amsterdam), and free subscriptions to Headspace and OpenUp.
• Get a 7,5% discount on additional health insurance at Zilveren Kruis in 2025.

Flexibility & Work-Life

• Work flexibly with our hybrid setup (50% office, 50% remote), plus a €2.40 daily remote work allowance.
• Receive 24 days of annual leave (pro-rated), plus one additional day per year of service (up to 30 days total).
• Full reimbursement for 2nd-class public transport to the office, plus €0.23 per km for car and bicycle travel.
• Eligible employees can work from another country for up to 8 weeks per year.

Career & Development

• Grow with our "Learning Never Stops" mindset:  access internal/external opportunities, and join our cross-market mentoring program.
• A dedicated annual budget to help you keep learning, developing new skills, and growing your career.

Culture & Environment

• Enjoy fresh homemade lunches in the office (€3.00/day), weekly vrij-mi-bo (Friday drinks), quarterly strategy sessions, and team events.

About HelloFresh

HelloFresh is on a mission to change the way people eat, forever!

Since our 2011 founding in Europe’s vibrant tech hub, Berlin, we’ve become the world's leading meal kit provider, delivering to over 4.2 million households worldwide in 15 countries across 3 continents. 

Our more than 15,000 employees from over 70+ nationalities are the heart and soul of our diverse, fast-paced and dynamic environment where innovation and smart, fast action is encouraged. 

We will encourage you to make an immediate impact in your area of work as well as empower you to grow your career with us.

Are you up for the challenge?

Please submit your complete application below including your salary expectations and earliest starting date.

After submitting an application our team will review this and get back to you within 5 business days. 

As a Maintenance and Operations Manager at Picnic, you own the Maintenance Engineer department at one of our automated sites. You lead teams of shift technicians, engineers and operators to deliver available and reliable equipment that run our automated Fulfilment centers. You work closely with the Site manager and Operations managers to turn site goals into daily action, develop strong operational leaders, and help build a high-performing, scalable operation. 

Our state of the art site Ridderkerk operates at high volume with a team of around 500 colleagues, giving you the opportunity to lead in our newest automated fulfilment environment.

What you’ll do 

• End-to-End Ownership: Take full responsibility for the long-term performance and KPI roadmap of your value stream, defining strategy and driving structural improvements in safety, quality, and efficiency.
  
  
• Hands-on Leadership: Lead the value stream day to day, coaching supervisors to effectively lead their captain teams, strengthening indirect leadership while ensuring performance targets are met.
  
  
• Data-Driven Process Optimization: Analyze workflows, identify bottlenecks, and implement improvements that increase efficiency, flow, and reliability.
  
  
• Continuous Improvement: Lead daily Kaizen and improvement initiatives, embedding a culture of operational excellence and accountability.
  
  
• Operational Standards and Execution: Maintain a clean, organized, and safe environment, applying 5S principles and reinforcing consistent standards across your teams.
  
  
• Cross-Functional Collaboration: Work closely with maintenance, engineering, planning, analysts, and last-mile teams to ensure seamless end-to-end operations.
  
  

What you bring 

• University degree in Supply Chain, Engineering, or related field

• 5+ years leadership experience, preferably in warehouse or automated operations

• Hands-on experience in automated or semi-automated fulfilment environments

• Lean and continuous improvement experience in complex operations

• Comfortable managing high-volume, high-SKU workflows

• Proven ability to lead teams of leaders and drive results

• Strong analytical skills, with a high level of competence in data analysis tools such as Tableau and Excel

• Willingness to occasionally step into operational shifts to stay close to the operation and support the team

• Fluency in English and Dutch 

Picnic perks

• You'll receive a competitive compensation package, including 25 vacation days per year to recharge your batteries

• The option to lease a car

• You’ll get freshly prepared, healthy breakfast, lunches (and dinner at the FC) as well as delicious snacks and drinks available at all Picnic locations

• A flexible company pension plan called “Doenpensioen” at a.s.r.

• Picnic laptop and smartphone 

• An awesome scale-up atmosphere with the freedom to drive your own projects and the opportunity to have an impact!

• The chance to work in an international environment with motivated team members & legendary company events

• Many internal learning and development possibilities as well as professional soft skill & leadership trainings at a specialized external party

• We have Fulfilment Centres across The Netherlands in the following locations: Utrecht, Ridderkerk, Berkel en Rodenrijs, Dordrecht, Eindhoven, Zwolle, Heerenveen, Geldermalsen

We’re on a mission to become the go-to destination for students across Europe to find a trusted home away from home. We make every step of the rental journey simple and seamless, so students can focus on what really matters: studying, exploring, and growing.

With HousingAnywhere, Kamernet, and Studapart under our roof, we’re Europe’s largest student rental platform.

You’ll find us in Rotterdam, Paris, and Cergy, always guided by our four core values: Ownership, We are enablers, We are changemakers, and We are connectors.

Join us in empowering students unlock their potential through a safe, online, rental experience.

Your role & impact

We are looking for a data-driven professional who's excited to transform business questions into actionable insights that drive decisions. In this role, you’ll collaborate with commercial teams, to influence strategic planning and elevate business performance. You will work alongside talented and driven data peers in a dynamic environment to create real impact in HousingAnywhere's growth. 

The purpose of this role is to empower commercial teams with insights and recommendations to grow our marketplace and get the most out of our team:

• Collaborate closely with the commercial teams to translate business questions into analyses, synthesise insights and develop recommendations to drive business results.
• Define, develop and monitor the key metrics to measure operational performance and business outcomes, and identify drivers for changes in these metrics.
• Ensure business questions are addressed in the most effective format (ad-hoc deep-dive, recurring analysis, dashboards, self-serving functional tools).
• Empower stakeholders to independently leverage data for business insights via dashboards and self-serving tools, in close collaboration with the Analytics Engineering and Business Intelligence teams. 
• Develop dashboards and reports that support operational business processes.
• Support commercial teams' OKR planning and measurement.
• Identify and implement opportunities to enhance existing analytical processes and methodologies.

Your team
Our Commercial Analytics and Business Intelligence team is formed by 4 analysts from diverse backgrounds and experience levels. We collaborate closely with data engineers, analytics engineers, and data scientists to extract insights and drive informed decision-making.

Your profile
Required: 

• 4+ years experience as a Data Analyst, or equivalent role with a strong data/analytics component. 
• Analytical mindset, combined with good business sense and orientation.
• A good communicator who can present insights and recommendations clearly and persuasively to different audiences.
• Self-starter with strong project and time management skills.
• Proficient in SQL and Google Sheets, and experience with at least one dashboarding tool (Tableau, Looker, PowerBI, etc.).

Preferred: 

• Advanced knowledge of at least one statistical programming language (Python, R, etc.) is a plus.
• Previous experience in a high-growth, fast-paced tech company is a big plus.
• Experience creating interactive dashboards in Tableau.

What’s in it for you 

• Unlimited paid holidays, minimum-based not maximum!
• Hybrid working policy with 2 days working from the office.
• Flexibility to work remotely for up to 2 months per year!
• 1,000 EUR personal development budget.
• Complete coverage for commuting.
• 30% ruling application assistance. 
• Personal equipment, including laptop and ergonomic setup.
• Gym membership discount with GoVital or OneFit.
• Dutch/English classes budget.
• Variable pension scheme.
• Diverse international community (46+ nationalities).
• Pet-friendly office in Rotterdam city centre. 
• Fun team-building and after-work drinks every Friday.

What can you expect from our hiring process? Read more here.

The role

Factor Europe is scaling rapidly, and as the complexity of our product offering grows, we are looking for a Team Lead, Product Operations to act as the “COO” of our Product organization. 

This role requires a hands-on operator with outstanding data fluency and sharp commercial sense. The day-to-day is a blend of quantitative modelling, performance analysis, process optimization, and cross-functional project management. Reporting to the Head of Product / Co-MD, you will bridge our Culinary and Operations teams as you drive execution of our product expansion roadmap. 

This role is a force multiplier for the Product team. Whether you are an analytical supply chain master who wants more exposure to product/customer, or a systems thinker who loves building and improving processes, this is a chance to supercharge one of Europe’s fastest-growing food-tech brands.

What you’ll do

Optimize our weekly menu

• Build the menu planning algorithm: Develop and refine the models that architect our weekly menu, optimizing for customer engagement within a set of constraints (customer feedback, seasonal trends, cost targets, production capacity, etc).
• Analyze recipe performance: Lead the weekly “Menu Post-Mortem”, translating customer feedback into actionable, data-driven insights for the Culinary and Kitchen Operations teams. 
• Improve our Recipe Database: Identify gaps in our recipe database and set priorities for R&D sprints; oversee our recipe graduation framework as we test new concepts.
• Set commercial guardrails: Model the impact of menu changes on company profitability and proactively course correct. 

Drive process excellence & scalability

• Develop scalable processes: Develop and improve the end-to-end processes required to bring a recipe/menu from concept to launch, ensuring zero errors in handoffs between Culinary and Supply Chain.
• Standardize, simplify, & automate: Identify aspects of our product operations that are ripe for automation or offshoring - then make it happen!
• Own & improve the internal tool landscape: Own our internal Product tool stack (from building Google Sheets to managing internal tech and analytics platforms). You are the ultimate owner of product data quality.
• Build the team: Build, lead, and mentor the Product Ops team as we scale our business. 

Execute our product strategy

• Define the implementation plan: Take the “what” and “why” of our product roadmap, and figure out the “how” and “when”
• Manage cross-functionally: Ensure the broader team (R&D, Supply Chain, Marketing, Digital Product, Tech) is aligned and moving in lockstep toward launch dates
• Accelerate learning: Institutionalize a culture of feedback by holding rigorous post-launch reviews for all major product initiatives.

Who you are

• A builder: You are comfortable with ambiguity. You don’t need a playbook to be effective; you are excited to write it.
• A systems thinker: You don’t just fix a problem; you fix the process that allowed the problem to happen.
• A versatile problem-solver: You love creating issue trees and driving to the root cause. You have a framework for every challenge.
• Data-obsessed: You are very strong in Excel/SQL and can create data visualizations that separate signal from noise.
• High agency: You don’t get stuck easily: you ask why, you find workarounds, and you hustle to keep the project on track.

Requirements

• Experience: 6+ years in high-growth Strategy & Operations, Management Consulting, Product Operations, or Supply Chain Management. Experience in FMCG, E-Comm, or Food-Tech is a plus.
• Scale Exposure: You have worked in a “0-to-1” or “1-to-10” environment; you have a track record of transitioning manual, spreadsheet-based processes into automated, scalable systems.
• Technical Toolkit: Advanced in Excel/Google Sheets and proficiency with SQL is required; experience with Tableau and Python is a significant advantage.
• Stakeholder Management: Proven ability to influence leaders across different departments and geographies.
• People Leadership: Readiness to build, coach, and manage a high-performing team in a fast-paced environment.

What we offer

• Freedom to initiate, execute and implement your own ideas
• Lots of learning and development opportunities
• 24  holidays based on 40 hours per week per year, pro rata
• A hybrid work setup - with roughly 2 days in our Amsterdam office 
• Reimbursement of travel expenses to the office
• Discount on your ClassPass subscription, and a discount for your gym membership via Bedrijfsfitness Nederland 
• Discount on your additional health insurance through Zilveren Kruis
• A discount on your weekly, Factor, HelloFresh and/or Green Chef box in the Netherlands
• Healthy lunches, fruit and snacks in the office 
• Competitive salary and pension scheme
• Social activities with our culturally diverse team!

Are you up for the challenge?

Please submit your complete application below including your salary expectations and earliest starting date.

After submitting an application our team will review this and get back to you within 5 business days. 

#factor

#JD1008

At Picnic, we run some of Europe’s most advanced automated grocery fulfilment centres, combining robotics, smart software, and a people-first culture. As a Value Stream Operations Manager, you own a key part of the operation, leading multiple teams across shifts to deliver on safety, quality, productivity, and continuous improvement. You work closely with the Site Manager and other Operations managers to turn site goals into daily action, develop strong operational leaders, and help build a high-performing, scalable operation. 

Our site in Dordrecht operates at high volume with a team of around 500 colleagues, giving you the opportunity to lead in a complex, automated fulfilment environment.

What you’ll do 

• End-to-End Ownership: Take full responsibility for the long-term performance and KPI roadmap of your value stream, defining strategy and driving structural improvements in safety, quality, and efficiency.

• Hands-on Leadership: Lead the value stream day to day, coaching supervisors to effectively lead their captain teams, strengthening indirect leadership while ensuring performance targets are met. 

• Data-Driven Process Optimization: Analyze workflows, identify bottlenecks, and implement improvements that increase efficiency, flow, and reliability.

• Continuous Improvement: Lead daily Kaizen and improvement initiatives, embedding a culture of operational excellence and accountability.

• Operational Standards and Execution: Maintain a clean, organized, and safe environment, applying 5S principles and reinforcing consistent standards across your teams.

• Cross-Functional Collaboration: Work closely with maintenance, engineering, planning, analysts, and last-mile teams to ensure seamless end-to-end operations.

What you bring 

• University degree in Supply Chain, Engineering, or related field
• 5+ years leadership experience, preferably in warehouse or automated operations
• Hands-on experience in automated or semi-automated fulfilment environments
• Lean and continuous improvement experience in complex operations
• Comfortable managing high-volume, high-SKU workflows
• Proven ability to lead teams of leaders and drive results
• Strong analytical skills, with a high level of competence in data analysis tools such as Tableau and Excel
• Willingness to occasionally step into operational shifts to stay close to the operation and support the team
• Fluency in English and Dutch 

Picnic perks

• You'll receive a competitive compensation package, including 25 vacation days per year to recharge your batteries
• The option to lease a car
• You’ll get freshly prepared, healthy breakfast, lunches (and dinner at the FC) as well as delicious snacks and drinks available at all Picnic locations
• A flexible company pension plan called “Doenpensioen” at a.s.r.
• Picnic laptop and smartphone 
• An awesome scale-up atmosphere with the freedom to drive your own projects and the opportunity to have an impact!
• The chance to work in an international environment with motivated team members & legendary company events
• Many internal learning and development possibilities as well as professional soft skill & leadership trainings at a specialized external party
• We have Fulfilment Centres across The Netherlands in the following locations: Utrecht, Ridderkerk, Berkel en Rodenrijs, Dordrecht, Eindhoven, Zwolle, Heerenveen, Geldermalsen

In a nutshell 

Picnic is looking for an early career Performance Marketing Specialist with a passion for digital marketing and data-driven growth. If you’re excited to learn how to run app campaigns, optimize performance, and drive real results, this is your chance to gain hands-on experience in a fast-growing scale-up in the grocery industry. As a Performance Marketing Specialist, you’ll work closely with our experienced Acquisition team and contribute to exciting projects.

Tricks of the trade

• Run campaigns: Assisting in setting up and managing campaigns on Meta, TikTok and Google Ads.
• Analyze campaign performance: Monitoring and analyzing campaign performance using tools like Adjust and Tableau to optimize results.
• Close collaboration: Working with our creative team to develop engaging ad content.
• Learn and grow: Keeping up with industry trends and learning best practices in mobile growth marketing.

Your superpowers

• MSc. degree in Business Administration, Marketing or equivalent
• 1-2 years of hands-on performance marketing or mobile app user acquisition experience
• Strong analytical mindset with an interest in working with data and performance metrics. Excellent in using Google Sheets, Excel or any other data tool to analyze and present insights
• Eager to learn about Google Ads, Meta and TikTok ads
• Excellent communication and teamwork skills
• Strong affinity in the mobile app industry
• Professional fluency in English is required, proficiency in Dutch, German or French is a plus
• Eligible to work in the Netherlands

Picnic perks

🥗Fresh Lunch, coffee, and snacks

Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up.

🚴🏼‍♂️Health insurance discount & bike plan

We have a partnership with CZ (a health insurance provider). Picnic employees get a discount on CZ insurance packages between 5% and 15%. Furthermore, through our partnership with Lease a Bike, you can rent-to-own a new (e)bike at a discounted rate

✍🏼 Learning & development 

You’ll get ample opportunity to work on yourself at Picnic. We offer personal development through Lepaya courses, Academy trainings, and more. Interested in improving your mental wellbeing? Through OpenUp you get free access to trained psychologists and many courses. 

All the rest 

At Picnic you get 25 holidays, we cover your travel expenses and offer a pension plan. And your phone and laptop are on us, as well.

At Picnic, we run some of Europe’s most advanced automated grocery fulfilment centres, combining robotics, smart software, and a people-first culture. As a Value Stream Operations Manager, you own a key part of the operation, leading multiple teams across shifts to deliver on safety, quality, productivity, and continuous improvement. You work closely with the Site Manager and other Operations managers to turn site goals into daily action, develop strong operational leaders, and help build a high-performing, scalable operation. 

Our site in Utrecht operates at high volume with a team of 500-1000 colleagues, giving you the opportunity to lead in a complex, automated fulfilment environment.

What you’ll do 

• End-to-End Ownership: Take full responsibility for the long-term performance and KPI roadmap of your value stream, defining strategy and driving structural improvements in safety, quality, and efficiency.

• Hands-on Leadership: Lead the value stream day to day, coaching supervisors to effectively lead their captain teams, strengthening indirect leadership while ensuring performance targets are met. 

• Data-Driven Process Optimization: Analyze workflows, identify bottlenecks, and implement improvements that increase efficiency, flow, and reliability.

• Continuous Improvement: Lead daily Kaizen and improvement initiatives, embedding a culture of operational excellence and accountability.

• Operational Standards and Execution: Maintain a clean, organized, and safe environment, applying 5S principles and reinforcing consistent standards across your teams.

• Cross-Functional Collaboration: Work closely with maintenance, engineering, planning, analysts, and last-mile teams to ensure seamless end-to-end operations.

What you bring 

• University degree in Supply Chain, Engineering, or related field
• 5+ years leadership experience, preferably in warehouse or automated operations
• Hands-on experience in automated or semi-automated fulfilment environments
• Lean and continuous improvement experience in complex operations
• Comfortable managing high-volume, high-SKU workflows
• Proven ability to lead teams of leaders and drive results
• Strong analytical skills, with a high level of competence in data analysis tools such as Tableau and Excel
• Willingness to occasionally step into operational shifts to stay close to the operation and support the team
• Fluency in English and Dutch 

Picnic perks

• You'll receive a competitive compensation package, including 25 vacation days per year to recharge your batteries
• The option to lease a car
• You’ll get freshly prepared, healthy breakfast, lunches (and dinner at the FC) as well as delicious snacks and drinks available at all Picnic locations
• A flexible company pension plan called “Doenpensioen” at a.s.r.
• Picnic laptop and smartphone 
• An awesome scale-up atmosphere with the freedom to drive your own projects and the opportunity to have an impact!
• The chance to work in an international environment with motivated team members & legendary company events
• Many internal learning and development possibilities as well as professional soft skill & leadership trainings at a specialized external party
• We have Fulfilment Centres across The Netherlands in the following locations: Utrecht, Ridderkerk, Berkel en Rodenrijs, Dordrecht, Eindhoven, Zwolle, Heerenveen, Geldermalsen

The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.

Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.

About the role

As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.

We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.

You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:

• Orchestration Platforms: Apache Airflow, Dagster, Prefect
• Transformation Tools: dbt, SQLMesh
• AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications

ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.

What you'll do

• Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
• Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
• Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
• Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
• Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
• Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows

About you

• 7+ years of software development experience, ideally with hands-on time as a Data Engineer, Data Scientist, or ML Engineer
• Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
• Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
• Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect)
• Hands-on experience with AI/ML in data engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling in production, not just experimentation
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
• Solid experience with concurrent Python: threading, multiprocessing, and async patterns
• Outstanding written and verbal communication skills; comfortable collaborating across engineering functions and with open-source communities

Bonus points for:

• Experience deploying AI/ML models in production, including inference APIs and vector databases
• Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
• Familiarity with ClickHouse or similar high-performance OLAP platforms
• Familiarity with the JVM ecosystem

Eligible locations:

• USA
• Canada
• UK
• Portugal
• Spain
• France
• Italy
• Germany
• Netherlands
• Poland
• Czech republic
• Israel
• UAE

The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.

Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.

About the role

As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.

We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.

You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:

• Orchestration Platforms: Apache Airflow, Dagster, Prefect
• Transformation Tools: dbt, SQLMesh
• AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications

ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.

What you'll do

• Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
• Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
• Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
• Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
• Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
• Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows

About you

• 7+ years of software development experience, ideally with hands-on time as a Data Engineer, Data Scientist, or ML Engineer
• Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
• Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
• Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect)
• Hands-on experience with AI/ML in data engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling in production, not just experimentation
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
• Solid experience with concurrent Python: threading, multiprocessing, and async patterns
• Outstanding written and verbal communication skills; comfortable collaborating across engineering functions and with open-source communities

Bonus points for:

• Experience deploying AI/ML models in production, including inference APIs and vector databases
• Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
• Familiarity with ClickHouse or similar high-performance OLAP platforms
• Familiarity with the JVM ecosystem

Eligible locations:

• USA
• Canada
• UK
• Portugal
• Spain
• France
• Italy
• Germany
• Netherlands
• Poland
• Czech republic
• Israel
• UAE

The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.

Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.

About the role

As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.

We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.

You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:

• Orchestration Platforms: Apache Airflow, Dagster, Prefect
• Transformation Tools: dbt, SQLMesh
• AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications

ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.

What you'll do

• Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
• Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
• Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
• Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
• Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
• Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows

About you

• 7+ years of software development experience, ideally with hands-on time as a Data Engineer, Data Scientist, or ML Engineer
• Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
• Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
• Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect)
• Hands-on experience with AI/ML in data engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling in production, not just experimentation
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
• Solid experience with concurrent Python: threading, multiprocessing, and async patterns
• Outstanding written and verbal communication skills; comfortable collaborating across engineering functions and with open-source communities

Bonus points for:

• Experience deploying AI/ML models in production, including inference APIs and vector databases
• Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
• Familiarity with ClickHouse or similar high-performance OLAP platforms
• Familiarity with the JVM ecosystem

Eligible locations:

• USA
• Canada
• UK
• Portugal
• Spain
• France
• Italy
• Germany
• Netherlands
• Poland
• Czech republic
• Israel
• UAE

The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.

Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.

About the role

As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.

We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.

You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:

• Orchestration Platforms: Apache Airflow, Dagster, Prefect
• Transformation Tools: dbt, SQLMesh
• AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications

ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.

What you'll do

• Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
• Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
• Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
• Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
• Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
• Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows

About you

• 7+ years of software development experience, ideally with hands-on time as a Data Engineer, Data Scientist, or ML Engineer
• Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
• Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
• Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect)
• Hands-on experience with AI/ML in data engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling in production, not just experimentation
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
• Solid experience with concurrent Python: threading, multiprocessing, and async patterns
• Outstanding written and verbal communication skills; comfortable collaborating across engineering functions and with open-source communities

Bonus points for:

• Experience deploying AI/ML models in production, including inference APIs and vector databases
• Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
• Familiarity with ClickHouse or similar high-performance OLAP platforms
• Familiarity with the JVM ecosystem

The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling.

Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience.

About the role

As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.

We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.

You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:

• Orchestration Platforms: Apache Airflow, Dagster, Prefect
• Transformation Tools: dbt, SQLMesh
• AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications

ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems.

What you'll do

• Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
• Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
• Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
• Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
• Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
• Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows

About you

• 7+ years of software development experience, ideally with hands-on time as a Data Engineer, Data Scientist, or ML Engineer
• Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation)
• Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries
• Prior contributions to, or deep practical experience with, popular data orchestration tools (Airflow, Dagster, or Prefect)
• Hands-on experience with AI/ML in data engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling in production, not just experimentation
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
• Solid experience with concurrent Python: threading, multiprocessing, and async patterns
• Outstanding written and verbal communication skills; comfortable collaborating across engineering functions and with open-source communities

Bonus points for:

• Experience deploying AI/ML models in production, including inference APIs and vector databases
• Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role
• Familiarity with ClickHouse or similar high-performance OLAP platforms
• Familiarity with the JVM ecosystem

• 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

The Connectors team is the bridge between ClickHouse and the entire data ecosystem. We build and maintain the connectors that make ClickHouse accessible to millions of developers and data practitioners worldwide. Our work spans from low-level database integrations to high-level data visualization plugins, ensuring that ClickHouse seamlessly integrates with the tools our users already know and love.

We're responsible for the official data connectors (Kafka, dbt, Spark, Flink, Beam, Fivetran), and integrations with leading visualization platforms (Grafana, Tableau, Power BI, Metabase).

What will you do?

As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core contributor, owning and maintaining critical parts of ClickHouse's Data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience, where you'll craft tools that enable Data Engineers to harness ClickHouse's incredible speed and scale.

You'll own the full lifecycle of data framework integrations - from the core database driver that handles billions of records per second, to SDKs and connectors that make ClickHouse feel native in JVM-based applications. This isn't just about writing code; you're building the foundation that thousands of Data engineers rely on for their most critical data workloads.

Your work will directly impact how companies process massive datasets, from real-time analytics platforms ingesting millions of events per second to observability systems monitoring global infrastructure. You'll collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience.

About you:

• 6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions.
• Proven experience with the internals of at least one of the following technologies: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam.
• Experience developing or extending connectors, sinks, or sources for at least one big data processing framework such as Apache Spark, Flink, Beam, or Kafka Connect.
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.

A track record of building scalable data integration systems (beyond simple ETL jobs)

• Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage collection tuning, and performance profiling.
• Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns.
• Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions.
• Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire.
• Passion for open-source development.

Bonus points for:

• Prior contributions to open-source projects: actively engaging with the OSS community, advocating for users, and influencing the evolution of the core system through your contributions.
• Familiarity with ClickHouse or similar high-performance data platforms.
• Working knowledge of Python, especially in data engineering contexts (e.g., Pandas, PySpark, Airflow), and ability to contribute to Python tooling when needed.

The Connectors team is the bridge between ClickHouse and the entire data ecosystem. We build and maintain the connectors that make ClickHouse accessible to millions of developers and data practitioners worldwide. Our work spans from low-level database integrations to high-level data visualization plugins, ensuring that ClickHouse seamlessly integrates with the tools our users already know and love.

We're responsible for the official data connectors (Kafka, dbt, Spark, Flink, Beam, Fivetran), and integrations with leading visualization platforms (Grafana, Tableau, Power BI, Metabase).

What will you do?

As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core contributor, owning and maintaining critical parts of ClickHouse's Data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience, where you'll craft tools that enable Data Engineers to harness ClickHouse's incredible speed and scale.

You'll own the full lifecycle of data framework integrations - from the core database driver that handles billions of records per second, to SDKs and connectors that make ClickHouse feel native in JVM-based applications. This isn't just about writing code; you're building the foundation that thousands of Data engineers rely on for their most critical data workloads.

Your work will directly impact how companies process massive datasets, from real-time analytics platforms ingesting millions of events per second to observability systems monitoring global infrastructure. You'll collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience.

About you:

• 6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions.
• Proven experience with the internals of at least one of the following technologies: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam.
• Experience developing or extending connectors, sinks, or sources for at least one big data processing framework such as Apache Spark, Flink, Beam, or Kafka Connect.
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.

A track record of building scalable data integration systems (beyond simple ETL jobs)

• Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage collection tuning, and performance profiling.
• Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns.
• Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions.
• Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire.
• Passion for open-source development.

Bonus points for:

• Prior contributions to open-source projects: actively engaging with the OSS community, advocating for users, and influencing the evolution of the core system through your contributions.
• Familiarity with ClickHouse or similar high-performance data platforms.
• Working knowledge of Python, especially in data engineering contexts (e.g., Pandas, PySpark, Airflow), and ability to contribute to Python tooling when needed.

The Connectors team is the bridge between ClickHouse and the entire data ecosystem. We build and maintain the connectors that make ClickHouse accessible to millions of developers and data practitioners worldwide. Our work spans from low-level database integrations to high-level data visualization plugins, ensuring that ClickHouse seamlessly integrates with the tools our users already know and love.

We're responsible for the official data connectors (Kafka, dbt, Spark, Flink, Beam, Fivetran), and integrations with leading visualization platforms (Grafana, Tableau, Power BI, Metabase).

What will you do?

As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core contributor, owning and maintaining critical parts of ClickHouse's Data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience, where you'll craft tools that enable Data Engineers to harness ClickHouse's incredible speed and scale.

You'll own the full lifecycle of data framework integrations - from the core database driver that handles billions of records per second, to SDKs and connectors that make ClickHouse feel native in JVM-based applications. This isn't just about writing code; you're building the foundation that thousands of Data engineers rely on for their most critical data workloads.

Your work will directly impact how companies process massive datasets, from real-time analytics platforms ingesting millions of events per second to observability systems monitoring global infrastructure. You'll collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience.

About you:

• 6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions.
• Proven experience with the internals of at least one of the following technologies: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam.
• Experience developing or extending connectors, sinks, or sources for at least one big data processing framework such as Apache Spark, Flink, Beam, or Kafka Connect.
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.

A track record of building scalable data integration systems (beyond simple ETL jobs)

• Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage collection tuning, and performance profiling.
• Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns.
• Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions.
• Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire.
• Passion for open-source development.

Bonus points for:

• Prior contributions to open-source projects: actively engaging with the OSS community, advocating for users, and influencing the evolution of the core system through your contributions.
• Familiarity with ClickHouse or similar high-performance data platforms.
• Working knowledge of Python, especially in data engineering contexts (e.g., Pandas, PySpark, Airflow), and ability to contribute to Python tooling when needed.

The Connectors team is the bridge between ClickHouse and the entire data ecosystem. We build and maintain the connectors that make ClickHouse accessible to millions of developers and data practitioners worldwide. Our work spans from low-level database integrations to high-level data visualization plugins, ensuring that ClickHouse seamlessly integrates with the tools our users already know and love.

We're responsible for the official data connectors (Kafka, dbt, Spark, Flink, Beam, Fivetran), and integrations with leading visualization platforms (Grafana, Tableau, Power BI, Metabase).

What will you do?

As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core contributor, owning and maintaining critical parts of ClickHouse's Data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience, where you'll craft tools that enable Data Engineers to harness ClickHouse's incredible speed and scale.

You'll own the full lifecycle of data framework integrations - from the core database driver that handles billions of records per second, to SDKs and connectors that make ClickHouse feel native in JVM-based applications. This isn't just about writing code; you're building the foundation that thousands of Data engineers rely on for their most critical data workloads.

Your work will directly impact how companies process massive datasets, from real-time analytics platforms ingesting millions of events per second to observability systems monitoring global infrastructure. You'll collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience.

About you:

• 6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions.
• Proven experience with the internals of at least one of the following technologies: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam.
• Experience developing or extending connectors, sinks, or sources for at least one big data processing framework such as Apache Spark, Flink, Beam, or Kafka Connect.
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.

A track record of building scalable data integration systems (beyond simple ETL jobs)

• Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage collection tuning, and performance profiling.
• Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns.
• Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions.
• Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire.
• Passion for open-source development.

Bonus points for:

• Prior contributions to open-source projects: actively engaging with the OSS community, advocating for users, and influencing the evolution of the core system through your contributions.
• Familiarity with ClickHouse or similar high-performance data platforms.
• Working knowledge of Python, especially in data engineering contexts (e.g., Pandas, PySpark, Airflow), and ability to contribute to Python tooling when needed.

The Connectors team is the bridge between ClickHouse and the entire data ecosystem. We build and maintain the connectors that make ClickHouse accessible to millions of developers and data practitioners worldwide. Our work spans from low-level database integrations to high-level data visualization plugins, ensuring that ClickHouse seamlessly integrates with the tools our users already know and love.

We're responsible for the official data connectors (Kafka, dbt, Spark, Flink, Beam, Fivetran), and integrations with leading visualization platforms (Grafana, Tableau, Power BI, Metabase).

What will you do?

As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core contributor, owning and maintaining critical parts of ClickHouse's Data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience, where you'll craft tools that enable Data Engineers to harness ClickHouse's incredible speed and scale.

You'll own the full lifecycle of data framework integrations - from the core database driver that handles billions of records per second, to SDKs and connectors that make ClickHouse feel native in JVM-based applications. This isn't just about writing code; you're building the foundation that thousands of Data engineers rely on for their most critical data workloads.

Your work will directly impact how companies process massive datasets, from real-time analytics platforms ingesting millions of events per second to observability systems monitoring global infrastructure. You'll collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience.

About you:

• 6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions.
• Proven experience with the internals of at least one of the following technologies: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam.
• Experience developing or extending connectors, sinks, or sources for at least one big data processing framework such as Apache Spark, Flink, Beam, or Kafka Connect.
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.

A track record of building scalable data integration systems (beyond simple ETL jobs)

• Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage collection tuning, and performance profiling.
• Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns.
• Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions.
• Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire.
• Passion for open-source development.

Bonus points for:

• Prior contributions to open-source projects: actively engaging with the OSS community, advocating for users, and influencing the evolution of the core system through your contributions.
• Familiarity with ClickHouse or similar high-performance data platforms.
• Working knowledge of Python, especially in data engineering contexts (e.g., Pandas, PySpark, Airflow), and ability to contribute to Python tooling when needed.

The Connectors team is the bridge between ClickHouse and the entire data ecosystem. We build and maintain the connectors that make ClickHouse accessible to millions of developers and data practitioners worldwide. Our work spans from low-level database integrations to high-level data visualization plugins, ensuring that ClickHouse seamlessly integrates with the tools our users already know and love.

We're responsible for the official data connectors (Kafka, dbt, Spark, Flink, Beam, Fivetran), and integrations with leading visualization platforms (Grafana, Tableau, Power BI, Metabase).

What will you do?

As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core contributor, owning and maintaining critical parts of ClickHouse's Data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience, where you'll craft tools that enable Data Engineers to harness ClickHouse's incredible speed and scale.

You'll own the full lifecycle of data framework integrations - from the core database driver that handles billions of records per second, to SDKs and connectors that make ClickHouse feel native in JVM-based applications. This isn't just about writing code; you're building the foundation that thousands of Data engineers rely on for their most critical data workloads.

Your work will directly impact how companies process massive datasets, from real-time analytics platforms ingesting millions of events per second to observability systems monitoring global infrastructure. You'll collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience.

About you:

• 6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions.
• Proven experience with the internals of at least one of the following technologies: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam.
• Experience developing or extending connectors, sinks, or sources for at least one big data processing framework such as Apache Spark, Flink, Beam, or Kafka Connect.
• Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases.

A track record of building scalable data integration systems (beyond simple ETL jobs)

• Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage collection tuning, and performance profiling.
• Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns.
• Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions.
• Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire.
• Passion for open-source development.

Bonus points for:

• Prior contributions to open-source projects: actively engaging with the OSS community, advocating for users, and influencing the evolution of the core system through your contributions.
• Familiarity with ClickHouse or similar high-performance data platforms.
• Working knowledge of Python, especially in data engineering contexts (e.g., Pandas, PySpark, Airflow), and ability to contribute to Python tooling when needed.

The Role

At Super technologies, data isn’t a support function, it’s at the heart of every major decision we make. As a Senior Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products.

This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it.

What You’ll Do

• Be the Decision Engine: Run deep-dive analyses into customer behaviour, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions.
• Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions.
• Tackle Ambiguity: Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems.

What We’re Looking For

• Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau).
• Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making.
• Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior.
• Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.
• Proven Track Record: Previous experience in analytics and/or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth.
• Education: Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience.
• Years of Experience: We are hiring for roles with at least 2+ years of relevant experience.

Why Join Us?

• High Impact
  • Your datasets will be used daily by teams making product decisions, running experiments, and driving performance.
• Real Scale, Real Problems
  • Handle serious data volumes. We’re talking millions of events per day, multiple sources, and zero fluff.
• Freedom to Shape
  • Influence our data architecture, tooling, and best practices. You're not just implementing—you’re building.
• Solid Benefits
  • Competitive compensation & performance-based bonuses
  • Open vacation policy & hybrid work flexibility
  • Health support, wellness perks & team social budget

Your Mission

As Marketing Analyst, you act as the analytical backbone of our market strategy across European markets. You identify where growth will come from, why it happens, and how marketing investment should be allocated to capture it. Sitting at the intersection of Marketing and Insights, you turn market data into clear recommendations that shape prioritisation, budget allocation, and growth plans.

What You’ll Do

• Analyse market performance across traffic, conversion, LTV, CPA and GMV to identify drivers of growth and decline
• Identify market opportunities using demand and supply signals, category strengths, cultural trends and buyer behaviour
• Size market opportunities and support market prioritisation using TAM and SAM thinking
• Recommend and optimise budget allocation across markets based on ROI, opportunity and predicted impact
• Design and evaluate geo-based experiments, including splits, holdouts and lift studies, and translate results into clear actions
• Develop and refine market-level measurement frameworks and attribution approaches in collaboration with Data and Insights
• Provide market insights that inform GEO strategies, targets, planning cycles and cross-functional decision making

What You’ll Bring

• 4 to 7 years of experience in marketing analytics, growth analytics or market intelligence, working with large datasets to generate actionable insights
• Hands-on experience with incrementality testing, attribution logic and performance diagnostics, including test design and metric definition
• Strong SQL skills and experience with BI tools such as Looker, Tableau or Power BI
• Ability to work with data teams on models and pipelines, Python or R is a plus
• Commercial mindset with a focus on analyses that drive decisions and improve LTV and CPA efficiency
• Clear communication skills and confidence partnering with marketing, category, finance and data stakeholders
• Structured and pragmatic approach, with experience in marketplaces, e-commerce or multi-country environments as a plus

How We Work

• We operate within a GEO working model, partnering closely across Marketing, Category, Finance and Data to ground decisions in robust analysis
• You'll align closely with the Director of Performance and Category Marketing to shape priorities and planning
• You'll be part of our Insights and MI chapter, where we share tooling, standards and analytical coaching

Where You’ll Be

This is a hybrid role based in Amsterdam. You will work from our Amsterdam HQ a minimum of 2 days per week.

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.