Who We AreGraphite is a specialist team within Singulier focused exclusively on data transformation for PE-backed companies.We believe mid-sized and large companies are still underserved when it comes to data. For years, only big corporates could afford the platforms and teams needed to truly leverage their data. But over the last decade, cloud technologies and modern data tools have changed the game, making it possible to build robust data capabilities faster, at a fraction of the cost.That’s where we come in. We’re entrepreneurial, hands-on, and deeply embedded with our clients: we work directly with CxOs to solve operational and financial challenges through data. We focus only on projects where we can deliver a tangible impact, making us selective by design.Our projects are short-cycle, high-impact, and always business-driven. We don’t do “data for data’s sake”, every data product or pipeline we build has a direct line to a business decision. That’s what makes us trusted by some of the best private equity funds in Europe.What You’ll DoAs a Data Engineer at Graphite, you’ll build the pipelines and models that power real decisions. This isn’t coding in a vacuum, you’ll work with Data Product Owners to make sure every technical choice serves a clear business purpose.Concretely, you will:Design and build pipelines to ingest, transform, and serve data from ERPs, CRMs, operational systems, and external sources.Model the data so it’s reliable, scalable, and usable for multiple use casesOwn reliability: instrument quality checks, monitor performance, and fix issues fast.Ship to production: use CI/CD and infrastructure as code to deploy and maintain what you build.Work as part of a collaborative team: you’ll pair with experienced Data Engineers and Data POs; we review designs together, remove blockers quickly, and share the load.Stay close to impact: understand why a pipeline exists and how it will be used, so you can build the simplest thing that works and scales.What We’re Looking ForWe’re looking for a Data Engineer with 1-3 years of experience building pipelines and data models, whether in consulting, a product team, or an analytics/platform team.You don’t need to know every tool or platform from day one. We value strong foundations and curiosity over “full stack mastery,” and we’ll train you on the rest.You’ll thrive here if you have:Solid fundamentals: strong SQL, comfortable with Python, and a clear grasp of data modelling principles.A basic familiarity with cloud platforms and data warehouses, and a willingness to deepen that knowledge.Interest in modern data practices: version control, CI/CD, orchestration, testing, and infrastructure (we’ll teach you).Pragmatism, curiosity, and the ability to work autonomously: you can take ownership of a problem, ask good questions, but you also know when to seek input. You’ll be supported by senior engineers and POs, so you won’t be left on your own.Business awareness: you want to understand the use case, not just the schema.We’ll invest in your growth: you’ll pair with senior engineers and product owners, learn by doing real projects, and build the skills to own increasingly complex problems.Why Join UsBecause you’ll have real ownership and autonomy. Our Data Engineers don’t just build isolated steps in a pipeline, they design end-to-end solutions, make architecture decisions, and see the impact of what they deliver within weeks.Because you’ll be part of a close-knit, high-caliber team. We’re a team at human scale: collaborative, supportive, and with a genuinely good working atmosphere.Because you’ll get to work directly with data and infrastructure: building pipelines, modeling datasets, and setting up CI/CD. You won’t be stuck cleaning tickets, you’ll help shape how solutions are designed and delivered.Because we’re flexible: we trust you to organize your time, with the ability to work remotely when it makes sense.Because you’ll work on diverse projects across industries (e.g., healthcare, infrastructure, energy) all anchored in solving real business problems with data.And finally: because you’ll learn fast. You’ll pair with strong Data Product Owners, experienced engineers, and senior executives who move quickly, which is both demanding and incredibly rewarding. #J-18808-Ljbffr