Hybrid Engineering Manager – Data

Posted 6 hours ago

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About the role

  • Engineering Manager for Data Engineering team at Sensorfact, focusing on optimizing data pipelines and team collaboration. Responsible for mentoring engineers and managing project delivery in a dynamic scale-up environment.

Responsibilities

  • Inspire, mentor, and manage a team of 8 Data Engineers, fostering a culture of collaboration, ownership, transparency and above all psychological safety
  • Drive hiring and onboarding processes to grow the team with top talent when needed
  • Provide technical guidance and career development opportunities to your team members
  • Contribute hands-on in ways complementary to your role, such as by improving architecture and tooling or technical leadership of a product team
  • Partner with our Principal Software Engineer to oversee the design, implementation, and optimization of our data pipelines and infrastructure
  • Work closely with Product Managers of the different value streams to facilitate timely delivery of new features and identify staffing needs
  • Collaborate with fellow Engineering Managers and the VP of Technology to advance strategic projects that cross domains, such as cloud cost management, ingestion architecture and self-service analytics
  • Establish best practices in data engineering and software development, emphasizing scalability, code quality, testing, and continuous integration

Requirements

  • MSc (or PhD) in Computer Science, Distributed Systems, A.I., or a comparable field
  • Proven experience (5+ years) in data engineering, with at least 2+ years in a leadership or management role
  • Strong technical background, including Python and modern cloud and data technologies (e.g., Kafka, Flink, Spark, DBT, AWS Lambda, Airflow, Prefect, etc.)
  • Expertise in managing relational/OLAP databases like Postgres, Redshift, or Clickhouse
  • Proven experience in working with state of the art batch and/or stream processing frameworks
  • Solid understanding of software engineering best practices and data infrastructure design.
  • Excellent communication and stakeholder management skills
  • Fluent in English; experience in a scale-up environment is a plus.

Benefits

  • Grow your career as we scale
  • Pension Contribution of 4% with an employer sponsored retirement plan
  • Public transport allowance via NS business card
  • Home Office Budget up to €500 via Workwize
  • Employee Referral Incentives up to €3,000 for a successful referral
  • 27 Vacation Days to rest and recharge
  • Remote Work Flexibility up to 2 months/year (with manager approval)
  • Structured Onboarding & Mentorship support
  • Social Events like Sensorfact Week & team dinners
  • Office Perks like unlimited coffee, snacks, and free Friday lunch

Job title

Engineering Manager – Data

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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