Lead the data domain to establish a single source of truth and empower teams across the company, transforming data into a strategic lever for product development.
OUR PURPOSE AT PLANCRAFT
Building the backbone of European trades together – with AI-first software. We’re not just building software – we’re on a mission to create space for contractors & tradespeople by equipping them with AI solutions that work the way they do: fast, practical, and AI-first. With Tier 1 Investors from Europe and the US, like Headline and Creandum as well as 20,000+ tradespeople as customer base, we’re scaling across Europe to turn scattered tradespeople into thriving communities. We believe in zero admin, not zero personality – and we build every feature with the people in mind who wear the boots, not the suits. We’re #stoked to shape the future, #together as a team, and #humble in our mission to support the builders of tomorrow.
YOUR MISSION AT PLANCRAFT
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.
Your Responsibilities
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
YOUR PROFILE
Must-haves
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
WHY PLANCRAFT?
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.
Perks & BenefitsExtracted with AI
Flexible Work Hours:
Whether remote, hybrid, or on-site — you work where you’re at your best.
Learning Budget:
We invest in your personal and professional development through a strong feedback culture, a personal learning budget, and targeted enablement formats.
Urban Sports Club membership:
We also subsidize your Urban Sports Club membership and organize internal sport meetups.
Paid Time Off:
We offer 30 vacation days per year (based on a 5-day week) and Dec 24th off.
Remote-Friendly:
Some roles even allow for fully remote setups.