Data Lead

Effectory B.V.; Amsterdam; On-site; EUR 80,000 - 100,000; Full time

Benefits offered by this job

25 days leave

4 cool down days

Birthday off

Flexible working hours

Learning budget

Pension

Annual Body & Mind budget

Job summary

Effectory B.V. in Amsterdam is looking for a Data Lead to own the data function from end-to-end. You will lead a team of engineers to establish data as a central component in business operations, collaborating closely with teams in RevOps, Finance, and Product.

The ideal candidate will have 7+ years of data experience, including 3 years in leadership, and will bring strong SQL skills and hands-on experience with modern data stacks. The role includes the responsibility for data quality, strategy, and fostering a data-driven culture within the organization.

Qualifications

• 7+ years in data or analytics roles, with at least 3 years in a leadership capacity.
• Strong people leader who builds clarity and momentum in technical teams.
• Experience operating in ambiguous, fast-growing environments.

Responsibilities

• Own the design and implementation of the internal data stack.
• Define target architecture compatible with existing external product data.
• Safeguard data quality, reliability, and documentation.

Skills

Strong SQL skills

Hands-on experience with modern data stacks

Leadership skills

Analytical and results-oriented

Fluent in English

Tools

Snowflake

DataBricks

dbt

Azure Data Factory

Fivetran

PowerBi

Looker

Job description

As Data Lead you'll own the data function end-to-end: the operating model, platform investment, team and outcomes. You'll lead an engineering team (~5 FTE), working closely with Product, Revops, Finance and GTM to make data central to how the business operates day‑to‑day. Our ambition is to tie operational data to engagement results so that our customers can prove the impact of employee feedback on their business’ performance. This means you'll also collaborate closely with the reporting product team. In this role you will report directly to the CTO.

Responsibilities

• Own the design and implementation of the internal data stack — warehouse, pipelines, orchestration, and BI layer
• Define target architecture compatible with the existing external product data stack owned by the reporting team
• Safeguard data quality, reliability, and documentation across all critical datasets
• Create and maintain shared metric definitions and data standards across the business
• Define and own the company's data strategy and 12‑month roadmap, aligned to company OKRs
• Partner with leadership — including RevOps, CISO, CTO, Finance, and Product — to align data capabilities with business priorities
• Establish clear working agreements with RevOps on metric ownership and shared data models, ensuring a single source of truth for critical company metrics
• Work alongside the CISO on data governance and access controls — security policy remains with the CISO; implementation sits with the Head of Data
• Deliver self‑serve BI capabilities for Product, Customer Success, Finance, and the executive team
• Own product and customer engagement metrics; collaborate with RevOps on a shared revenue metrics layer
• Ensure data is structured, documented, and governed in ways that enable advanced analytics, automation, and AI use cases
• You set the standard for how the team uses LLMs, agents and automation in daily work, leading by example through hands‑on workflow development and coaching the team to adopt AI‑enabled ways of working by default.
• Foster a data‑driven culture across the organisation through standards, tooling, and stakeholder engagement

Qualifications

• 7+ years in data or analytics roles, with at least 3 years in a leadership or management capacity
• You’re a strong people leader who builds clarity, accountability and momentum in technical teams. You’re able to set direction, coach engineers and analysts, and create the conditions for high‑quality delivery
• You’ll bring strong SQL skills and hands‑on experience with modern data stacks (e.g. Snowflake or DataBricks, dbt, Azure Data Factory, Fivetran, PowerBi or Looker etc.)
• You have experience operating in ambiguous, fast‑growing environments where ownership is unclear and priorities shift
• Demonstrated ability to work as a peer alongside Revenue Operations, Security, and Engineering functions — influencing without formal authority
• You are pragmatic, analytical and results‑oriented, with the ability to cut through ambiguity and turn complex data challenges into clear priorities and tangible business outcomes
• Privacy and security are essential in our business. You understand what it takes to create highly flexible insights while safeguarding individuals' privacy and meet enterprise security requirements
• You’re fluent in English

Benefits

• 25 days leave on a fulltime basis
• 4 cool down days (additional company‑wide days off a year, where the entire office is closed)
• The option to purchase extra holidays
• Your birthday off
• A day off to move house
• A volunteer day off to support something you care about
• Full additional parental leave for partners
• Flexible working hours from 7am – 7pm
• A sabbatical once every 5 years
• Working from abroad option for up to 4 months
• A great lunch (hot & cold vegetarian, meat and vegetarian options) at the office, made by our in‑house chef
• A week of fun and interactive onboarding to get to know Effectory and your new colleagues
• A learning budget for personal development + extensive internal development opportunities
• Budget to set up your home office
• Additional monthly compensation for working from home
• Pension
• Access to financial advice
• Annual Body & Mind budget for anything that energizes or relaxes you
• Yearly Summer School & Winter School
• Annual events: Winter Party, Summer Party & the legendary Big Day