
Lead Data Engineer
Posted May 10

Posted May 10
This is a fully remote position, open to applicants in Germany.
• Design, implement, and maintain scalable data pipelines across essential systems.
• Develop and oversee analytics infrastructure utilizing both open-source and commercial solutions.
• Ensure operational reliability through data quality and schema integrity.
• Provide clean and consistent models and dashboards that are leveraged by various teams.
• Partner with stakeholders to facilitate analytics, business intelligence, and decision-making efforts.
• Over 5 years of hands-on experience in data engineering; experience as an initial data hire is a significant advantage.
• Proficient in SQL with strong programming skills (Python preferred).
• Practical experience with data tools such as Airflow, dbt, and Fivetran.
• Familiarity with API integration and working with data warehouses/lakes like Redshift, ClickHouse, or comparable systems.
• Background with analytics/BI tools (Metabase, Looker, Tableau, PowerBI, etc.).
• Comfortable with cloud infrastructure and Infrastructure as Code (IaC), with a strong preference for AWS.
• Strong interpersonal skills to understand business requirements and collaborate effectively with non-technical teams on their use cases.
• Experience with embedded and real-time analytics is an asset.
• Knowledge of streaming architectures (Kinesis/Kafka), ClickHouse, ELK, VictoriaMetrics, and reverse-ETL is a plus.
• Monthly compensation ranging from $5,000 to $7,000 USD.
• Unlimited Paid Time Off (PTO).
HubSpot
Prima
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