Data Lead

Direct message the job poster from Strativ Group

Location: Fully Remote (can only hire in Germany)

Have you worked across different areas of the data stack, and feel like it\’s time to step into a lead role? Are you connected to the business needs for data, and view data as a means to drive a business forward? Then read on…

You would join a series A CDE who have created a cloud-based solution to help technical folk create software more efficiently. Having just launched a new product, you will work closely with engineering, sales, and customer experience to ensure the full data-stack, infrastructure, and insights are fit for purpose, to drive business impact, GTM Strategy, and Operational Efficiency.

The business culture thrives on ownership, so you have the opportunity to shape the data strategy and architecture, advance data maturity, and enhance the data function.

The role:

• Own Data Ingestion, Warehousing, Analytics & Visualization with scalability, reliability + cost efficiency in mind
• Data Eng Best Practices – Monitoring, Testing, Disaster Recovery, Documentation + make them scalable + reusable
• Work with GTM to track customer behavior and lead enrichment pipelines to ensure insights are in the right places
• Have 1x Direct Report

Stack they work with: BigQuery, DBT, Segment, Prefect, Census, Mixpanel, Hex, Metabase

Yourself:

• Experience across the full data stack and demonstrated experience of leading a project yourself in a fast-growing startup or scale-up environment
• Owned Product Data in a SAAS or Similar Environment
• Built or significantly evolved data platforms that directly supported business growth
• Track record of successfully wearing multiple hats across the data stack – from data engineering to analytics.
• Experience with modern data stack tools like dbt, Prefect, Census / other orchestration and reverse ETL tools, modern warehouses (ideally BigQuery )
• Background working with product analytics and data from multiple first/third party data sources, experience building up a customer data platform
• Evidence of stakeholder collaboration and business impact – driving business outcomes, team enablement, or improved decision-making processes

Benefits:

• 30 days paid vacation + public holidays
• Flexible working hours – work in your productivity hours
• Annual company retreats
• Sports, Health, and Well-being Stipend
• Educational Budget (€1800 per year)
• Health Insurance
• Extended paid parental leave for all parents

If you have worked across the data stack and are deeply connected to business outcomes, then please apply, ensuring your CV showcases how what you have worked on has propelled a business forward.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology
• Industries: Software Development

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