Analytics Engineer - Remote Eligible

Data Product Manager

Play a key role in building and maintaining Data products that empower business teams to make data-driven decisions.

Collaborate with various business functions and Data teams to ensure the smooth development, governance, and lifecycle management of Data products that are reliable, efficient, and impactful.

Responsibilities

• Build and maintain Data Products aligned with Data Mesh principles, ensuring they are scalable, reliable, and meet the needs of business teams.
• Collaborate with business stakeholders and other data functions to manage data product scope, define roadmaps, and drive the lifecycle from concept to delivery.
• Ensure Data Products are well integrated into the KPI framework, maintaining high standards for governance, data quality, and reliability.
• Support business teams by integrating manual data sources, automating business processes, and developing data solutions that streamline operations.
• Democratize Data Platform capabilities by providing self-service tools, supporting power users, and delivering training to ensure wide adoption across the business.
• Partner with business units to identify opportunities for new Data Products, translating business requirements into scalable, impactful data solutions.
• Work closely with Data Analysts and BI Developers to facilitate best practices in multi-source data consumption and ensure seamless integration and usage across the platform.
• Troubleshoot, optimize, and enhance existing data products to ensure maximum performance, scalability, and alignment with business goals.

Job Requirements

• 3+ years of experience as an Analytics Engineer, Data Engineer, Data Analyst / BI Developer or related role, with a strong track record of building and maintaining data products.
• Experience with Data Mesh principles and a solid understanding of how to build decentralized, scalable data products aligned to these principles.
• Expert level proficiency in SQL, Python, and experience with data modeling, ETL processes, and data pipeline development.
• Experience working with BI tools (e.g., Tableau, Power BI) and an understanding of how to structure data for effective consumption by business teams.
• Strong understanding of data governance, including ensuring data products meet quality, reliability, and compliance standards.
• Experience working with manual data sources and the ability to automate data flows and integrate disparate sources into seamless, reliable data products.
• Ability to collaborate effectively across teams and work in a cross-functional environment with business, data analysts, and other stakeholders.
• Fluent in English (C1 level or equivalent), with excellent communication skills to support both technical and non-technical audiences.
• STEM background or equivalent practical experience in data engineering, analytics, or a related field.

What Do We Offer?

• Annual vacation of 25 working days and 1 additional day off on your birthday
• Meals Allowance (8 euros per working day)
• Healthcare Insurance
• AUTODOC Corporate Discount (1,080 Euros per annum)
• Learning & Development (over 650 courses on soft and hard skills on our e-learning platform)
• Free English and German language classes (after probation period)
• Flexible working hours and hybrid work

Join us today and let's create a success story together!