Data Lead

As a Data Lead, you own the vision, direction, and execution of data at plancraft - #together with your squad. You lead the data domain by setting clear standards, building a trusted single source of truth, and empowering teams across the company to self-serve and make confident, fast decisions. Through a combination of people leadership, hands-on technical contribution, and close partnership with Engineering and business stakeholders, you turn data into a strategic lever that shapes product development, operational excellence, and company-wide priorities., * Lead and develop a strong Data Engineering team (±3 FTE), combining thoughtful people leadership with clear technical direction.

• Own the data vision, strategy, and roadmap at plancraft, aligning it closely with Engineering leadership and company priorities.
• Build and evolve a company-wide single source of truth, ensuring data is reliable, well-modeled, and trusted across all teams.
• Enable true self-service analytics across Product, Marketing, Finance, and Operations by setting standards, tooling, and clear ownership.
• Lead data architecture and tooling decisions, balancing long-term scalability with short-term business needs in alignment with VP Engineering.
• Partner closely with stakeholders to prioritize data initiatives, manage expectations, and translate business questions into scalable data solutions.
• Continuously improve data quality, pipeline stability, and observability, reducing friction and increasing confidence in data-driven decisions.
• Step in hands-on where it matters most, unblocking the team, solving complex problems, and setting a high bar for technical excellence.

Our data stack includes:

• DBT for data transformation and modeling
• BigQuery as our primary data warehouse
• GCP as our cloud platform
• Python for data-related tooling and use cases
• GoodData for business intelligence and self-service analytics, * Team Spirit: We're driven by passion, commitment, and a shared mission. Team spirit matters to us - and we make it visible: with three major team events per year, two casual monthly formats at our Hamburg HQ, and a strong recognition culture where we regularly celebrate both the big and small wins together.
• Ownership: You're encouraged to take ownership from day one. In a flat hierarchy and high-trust environment, you're empowered to make meaningful decisions and drive real impact.
• Learning & Growth: We invest in your personal and professional development through a strong feedback culture, a personal learning budget, and targeted enablement formats. Our goal is to help you unlock your full potential.
• AI Enablement: Our internal tools and workflows are AI-enabled by design. We support every team and individual in applying AI at the next level in their daily work, including getting your own ChatGPT+ license, of course.
• Tech & Tooling: You'll receive a MacBook, premium over-ear headphones, and everything else you need - from hardware to tools - to be effective in your daily doing.
• Flexibility: Whether remote, hybrid, or on-site - you work where you're at your best. Our Hamburg office at Rödingsmarkt (with a rooftop terrace) is always open, and you decide each week how often you come in. Some roles even allow for fully remote setups. And if you need a change of scenery, working abroad is always an option.
• Recharge: To ensure the needed rest, we offer 30 vacation days per year (based on a 5-day week) and Dec 24th off. We also subsidize your Urban Sports Club membership and organize internal sport meetups.
• Mobility: You can lease a "JobRad" (Bike) and get a subsidized "Deutschlandticket" or "BahnCard" for public transport to be supported in your commute.
• International Environment: We're becoming more international every month, with team members already in Italy, France, the Netherlands, and Austria - which is why English is our internal company language.

Do you have experience in TypeScript?, * Senior-level data expertise, with several years of hands-on experience building and operating production-grade data systems in complex environments.

• Strong Data Engineering background, including modern data warehouses, data modeling, and transformation workflows (e.g. DBT or similar).
• Experience owning data systems end to end, from ingestion and modeling to business-facing insights and analytics use cases.
• Proven ability to lead and develop people while remaining technically credible and hands-on when needed.
• Ability to guide and influence technical and non-technical stakeholders through clear framing, trade-offs, and decision-oriented communication.
• Solid understanding of data quality, pipeline stability, and maintainability, with a pragmatic approach to improving them over time.
• Practical experience with cloud-based data stacks, such as BigQuery or comparable warehouses, data pipeline tools (e.g. Fivetran / Airbyte), and platforms like GCP, AWS, or Azure.
• Strong sense of ownership and accountability, with the ability to make decisions and stand behind them.

Nice-to-haves

• Experience with GCP infrastructure, e.g. using tools like Terragrunt
• Exposure to DataOps practices, such as CI/CD workflows with GitHub Actions
• Hands-on experience with Firestore or other operational data stores
• Deeper experience building and operating Fivetran-based data pipelines
• Familiarity with TypeScript in data-adjacent or platform contexts
• Experience working with data from Product, Marketing, Sales, and Finance systems (e.g. HubSpot, Intercom, Personio, Mixpanel, Google Analytics, Survicate)
• Professional working proficiency in German

We're #stoked to shape the future, #together as a team, and #humble in our mission to support the builders of tomorrow. For a first impression of us, take a look at our Instagram and LinkedIn page.