Babbel

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Engineering Manager - Data Platform (m/f/d)

Hybrid

Part remote, part office, you need to live within commuting distance of a named location.

Hybrid · Berlin

Employer listed it 12 days ago · Added 10 days ago

First listed 12 days ago and still open.

Salary

Not stated

Location

Hybrid · Berlin

Timezone

Not stated

Contract

Full-time

Experience

Mid

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours: Decide how, when and from where you want to work with our flexible working hours and remote-friendly options as Jobbatical (up to 3 months inside the EU and UK) or work from our fully equipped office with nap, faith and family rooms.
Where you can work from: Location eligibility not confirmed
Contract: Not mentioned in the advert
Experience asked for: Not mentioned in the advert
Pay: Not mentioned in the advert

Remote flexibility

Hybrid

This role is only partly remote, the employer expects time in the office around Berlin, Hybrid, so you need to live within commuting distance.

What the employer says

Source listing states candidate location: "Berlin, Hybrid"
Listing mentions "Hybrid"

What Nomaders makes of it

Not suitable if you plan to move between countries

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Experience: employer states

Written as a nice-to-have

“Experience managing and developing data engineers, ideally in a data platform, infrastructure or internal-product context.”

Questions worth asking: Nomaders interpretation

This role involves office time, but the advert does not say how often. Ask how many days a week are expected on site.
No pay is stated. Ask for the salary range before investing time in interviews.
The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

Your Learning Journey in This Role

We are looking for an Engineering Manager to lead Babbel’s Data Platform team. The team owns the data infrastructure, pipelines and platform capabilities that support analytics, data science, product teams and engineering across the company.

This is a hands-on role. You will be responsible for both team health and delivery outcomes, creating an environment where engineers can do their best work while delivering reliable, scalable and well-governed data products. You will work closely with Data, Analytics, Product and Engineering leaders to turn strategy into sustainable execution.

How You’ll Make an Impact

Lead, coach and grow a data engineering team responsible for Babbel’s data platform and infrastructure.

Own reliable delivery and operational excellence across the platform, including quality, observability, SLAs/SLOs, on-call and incident management.

Partner with Analytics, Product, Data Science and Engineering teams to prioritise and deliver platform capabilities that make trustworthy data easy to discover, access and use.

Drive an architecture that supports governed AI and agent workloads at scale, with appropriate access controls, lineage, auditability and cost guardrails built in.

Establish clear ownership, strong engineering practices and a predictable delivery cadence while continuously improving platform performance, cost and sustainability.

Your Skills and Qualifications

We think you’ll need the following experience to succeed in the role:

Experience managing and developing data engineers, ideally in a data platform, infrastructure or internal-product context.

A strong track record of delivering and operating reliable production systems, including data pipelines, modelling, schema evolution, testing, CI/CD, monitoring and incident management.

Experience working with Product, Analytics, Data Science and Engineering stakeholders in cross-functional teams, balancing delivery, quality, cost and sustainability.

In addition, here are the skills and capabilities we’re looking for:

Technical leadership: Strong understanding of modern data platform architecture, including cloud infrastructure, data processing, streaming, orchestration and analytics tools. Experience with technologies such as AWS, Terraform, Databricks, Kinesis or similar, dbt and Airflow is relevant.

Data governance and responsible AI use: Practical understanding of access controls, IAM, least-privilege patterns, encryption, lineage, audit logging and governance for AI or agent workloads.

People leadership and team development: Creates a healthy, collaborative and accountable team culture through clear expectations, constructive feedback, coaching and career development.

Product and delivery leadership: Treats the data platform as a product for internal customers, communicates clearly, manages trade-offs and makes sound build-versus-buy, vendor, cost and reliability decisions.

Ways of working You will work across Data, Analytics, Product and Engineering, building trusted relationships with internal customers and technical stakeholders. The role requires both technical depth and strong people leadership, together with the ability to create clarity, resolve ownership gaps and help teams deliver sustainably.

This role requires strong proficiency in English.

Please note that our company’s operating language is English, so you will need to be able to work in English.

Some perks of becoming a Babbelonian

Enjoy 30 vacation days and the chance to take a 3-month Sabbatical. Plus family and life situation counseling.

Requirements

·We think you’ll need the following experience to succeed in the role:
·Experience managing and developing data engineers, ideally in a data platform, infrastructure or internal-product context.
·A strong track record of delivering and operating reliable production systems, including data pipelines, modelling, schema evolution, testing, CI/CD, monitoring and incident management.
·Experience working with Product, Analytics, Data Science and Engineering stakeholders in cross-functional teams, balancing delivery, quality, cost and sustainability.
·In addition, here are the skills and capabilities we’re looking for:

Benefits

·Enjoy 30 vacation days and the chance to take a 3-month Sabbatical. Plus family and life situation counseling.
·Learn and grow with the internal learning opportunities, and use a yearly learning & development budget for external training. Learn languages with Babbel for free with your full access to Babbel & Babbel Live classes.
·Take advantage of your mobility benefits options and a discounted Urban Sports Club membership.
·Be part of our employee communities (such as FLINTA, DE&I Ambassadors and LGBTQIA groups), attend cultural and regular social events.
·Diversity at Babbel

How to apply

1Check the flexibility label above, hybrid, matches where you plan to live and work.
2Tailor your CV to the role at Babbel, mentioning your remote working experience.
3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 11d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

Pay not stated · You'll be taken to the employer's careers page.