Lead Data Engineer

This is a fully remote position, open to applicants in Germany.

📋 Description

• 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.

⛳️ Requirements

• 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.

🏝️ Benefits

• Monthly compensation ranging from $5,000 to $7,000 USD.

• Unlimited Paid Time Off (PTO).