Engineering Manager, Data & Analytics

Meyandy LLC; Chemnitz; Vor Ort; EUR 110.000 - 140.000; Vollzeit

Zusammenfassung

Staffbase is seeking an Engineering Manager for Data & Analytics to lead a small team of engineers, combining leadership with hands‑on technical work. You will own delivery, collaborate with the Director of Engineering and product stakeholders, and steer the team’s technical direction as the roadmap extends into 2027 and beyond.

You’ll influence data governance, shape the self‑service data platform, and communicate architectural needs across the staff engineering community, while staying

Qualifikationen

• Senior data engineering background with practical hands‑on skills.

Aufgaben

• Lead and develop a team of 4–5 engineers, coaching and unblocking delivery.
• Own the team's delivery, align stakeholders, and guide technical decisions.

Kenntnisse

Data engineering

Team leadership

Stakeholder management

Jobbeschreibung

About Staffbase

We inspire people to achieve great things together. Our mission is to help organizations unlock the power of inspirational communication with the first AI-native Employee Experience Platform. Our industry-leading and award-winning agentic AI communications channels - intranet, employee app and email solutions - create engaging experiences that connect and empower employees.

Headquartered in Chemnitz, Germany and New York City, with offices in Berlin, London, Sydney, Tokyo, Prague, and Minneapolis–St. Paul, our diverse team of 550+ employees supports 1,500+ customers—reaching over 14 million employees—in transforming their employee experience.
We are proud to be aUnicorncompany—privately valued at over $1 billion—demonstrating strong growth, innovation, and lasting impact in our industry. Together, we’re shaping the future of workplace communication.

Engineering Manager – Data & Analytics

As Engineering Manager for our Data & Analytics team, you will lead a team of 4-5 engineers while staying meaningfully hands-on as a technical player-coach. This is not a traditional management role. You are someone with a strong and senior data engineering background who genuinely wants to step into management. You will own the team's delivery, drive stakeholder alignment, and bring the technical depth needed to develop your team and keep us on the right track.

You will work closely with the Director of Engineering and product stakeholders, on sequencing, prioritization, and roadmap negotiation — with enough technical grounding to make sound decisions and mentor engineers day to day.

Our environment

• Data operates on two fronts: maintaining and evolving a self-service data platform, and delivering as a product team
• While the overall architecture direction is established for the near term, you'll shape the details and influence the technical direction as the roadmap extends into 2027 and beyond.
• You are the voice on data. Driving delivery and managing the interfaces with the broader staff engineering community available to support on high-level architectural input.
• Data governance for AI agents is an emerging and fast-growing priority — a technically exciting area we're starting to build into

What you'll be doing

• Lead and develop a team of 4-5 engineers: coaching, unblocking delivery, and building a product-minded data engineering culture