Data Engineer organizing and maintaining data stack for adtech company. Collaborating with cross-functional teams for effective data reporting and insights.
Responsibilities
Re-organize and clean up the current data stack, ensuring it aligns with product needs and business reporting requirements.
Create and manage reporting systems and data pipelines, ensuring data is available to clients and business users in a timely manner.
Collaborate with product teams, business leaders, and key stakeholders to identify reporting requirements and deliver actionable, data-driven insights that support strategic decision-making.
Focus on data modelling, ETL processes, and ensuring high-quality data for reporting.
Provide operational support and help business teams by troubleshooting and improving data workflows.
Ensure that the systems are designed and built with sustainability in mind, focusing on maintaining quality and process improvement.
Requirements
3-4 years of experience as a Data Engineer or similar role, with a strong understanding of SQL, DBT, and data cataloging.
Experience in building and managing ETL pipelines, working with SQL and Python.
Understanding of data modeling and reporting processes, with a focus on supporting business needs.
A practical, operational mindset—comfortable with managing interactions and supporting business teams.
Good communication skills, especially in working with business owners and product teams.
A strong desire to be hands-on and operational, ensuring that data is accessible, useful, and aligned with business requirements.
Benefits
A competitive compensation package
Flexibility in working hours and location
Comprehensive benefits coverage
Pension contributions
Generous holiday and leave allowance, in addition to national holidays
A strong focus on the well-being of our team members, with access to both physical and mental health resources
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