Data Lead driving data strategy and leading a team for AI-first software company. Responsible for building a trusted data framework and enabling self-service analytics across the company.
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.
Requirements
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
Benefits
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.
Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
Clinical Data Manager supporting research projects and managing patient databases at Mass General Brigham. Interact with patients and maintain data integrity in clinical research.
Technical Lead in Data Science guiding analytical systems design and team mentorship for a finance technology company. Collaborating across engineering and research to drive innovation and data excellence.
Technical Lead in Data Science at Voleon, driving the design and implementation of analytical systems. Mentoring a growing team of data scientists while ensuring methodological rigor in finance applications.
Data Scientist developing analytical solutions for customer data transformation and supporting critical business decisions. Focus on quality and integrity of data through statistical models and analysis.
Junior Data Scientist developing demand forecasting models for Nestlé’s Supply Chain team. Collaborating with analysts and planners to improve forecasting tools and processes.
HCM Data and Process Analytics Lead at ABB building business intelligence for HCM solutions. Analyzing data to drive improvements in performance and data quality across the organization.
Data Scientist owning and delivering production - grade data pipelines at Simbe Robotics. Collaborating with Product Management, Engineering, and Commercial teams to surface insights from retail data.
Data and Analytics Manager defining strategies for a digital transportation company connecting freight and truckers in Brazil. Leading initiatives to maximize data value and promote a culture of data - driven decision - making.
Mid - Level Data Scientist leveraging data science techniques for USAA's financial security solutions. Collaborating with various teams to develop advanced analytics and model deployment practices.