Data Engineering Manager

Why choose HomeBuddy

• Enjoy the freedom to work from anywhere without being tied to one place — while ensuring you are available to our team during the agreed working hours.
• Achieve a harmonious work-life balance with a flexible schedule tailored to your local needs, along with paid vacation, sick leave, and local holidays.
• Empower yourself with work equipment of your choice, partially paid for by HomeBuddy and up-to-date apps and tools to maximize your productivity.
• Feel valued and appreciated with an industry-leading compensation package.
• Get recognized and rewarded for both outstanding individual efforts leading to extraordinary results and our team success.
• Enhance your well-being with our allowance program covering fitness activities and mental health programs.
• Learn and expand your knowledge by both working on complex tasks and using paid training opportunities, including courses, events, and conferences.

Your future tasks will include

• Lead scalable data initiatives: architect and oversee data infrastructure to support advanced analytics, real-time insights, and machine learning, ensuring it's built to scale and adapt to new technologies.
• Develop high-performing data pipelines: create reliable, high-performance data pipelines that integrate diverse data sources, enabling real-time and batch data processing with minimal downtime.
• Drive cross-functional projects: collaborate with teams across Data Science, Engineering, and Product to deliver impactful data-driven solutions that support strategic goals.
• Champion best practices in data engineering & governance: establish data engineering standards, focusing on governance, security, and compliance to drive efficient and responsible data use across the organization.
• Mentor and inspire the team: guide and support the data engineering team of 3 people through code reviews, technical mentorship, and fostering a collaborative, high-performing culture.
• Optimize ETL/ELT workflows: design and maintain ETL/ELT processes that ensure data accuracy, reliability, and ease of access for business use cases.
• Shape strategic data planning: lead planning and prioritization for data engineering initiatives, focusing on ROI and long-term business value to support growth and innovation.

This job is for you if

• You would like to work in a positive atmosphere where teamwork and trust in your colleagues are primary values.
• You succeed in an environment that values initiative and sharing feedback, and where your suggestions and efforts are recognized and appreciated.
• You are used to taking responsibility for solving difficult tasks and are directly involved in how your efforts impact the final result.
• You thrive in an environment that encourages proactive contributions, cross-functional collaboration, and continuous learning.

You are going to need this to be successful in this role

• 5+ years of experience in data engineering, with 2+ years in a leadership role.
• Strong experience with Python, SQL, Snowflake, a good understanding of AWS Services (Lambda, Glue, Step Functions, EventBridge, API Gateway, SageMaker, EC2, S3, IAM), along with familiarity with dbt for data modeling and pipeline optimization.
• Strong knowledge of data infrastructure concepts, software design principles, data governance, security, data modeling principles, and data quality monitoring.
• Proven experience with DataOps practices such as orchestration (Prefect/Airflow), CI/CD, containerization (Docker), and monitoring.
• Excellent communication skills to convey complex technical topics to technical and non-technical audiences.
• Strong analytical skills and business acumen to prioritize and evaluate the impact of data projects on overall business goals.
• Business fluency in English.

It’s nice if you also have

• Experience with Event Driven Architecture and Event Sourcing.
• Experience implementing data governance initiatives.
• Experience in SaaS, marketplace, or lead generation environments.

What we offer

• Fully remote working environment.
• Competitive compensation packages.
• Flexible work hours.
• Paid vacation & sick leave.
• Learning & development support.
• Home office allowance.
• Wellness allowance.
• Challenging, interesting work.
• Company retreats & events.

How to join HomeBuddy

• Application/­resumé review by the Hiring Team.
• Introductory online interview with HR.
• Technical interview or interview with a Hiring Manager.
• Test assignment.
• Final interview with the Hiring Team.
• Offer.
• Onboarding.

If this sounds like you, we should talk!

By sending us your application, you agree that Siren Group AG (known as HomeBuddy) will process your personal data to participate in this recruitment process. If you want to know more about how Siren Group AG processes your personal data.