Company overview

We are Mission Hire, a recruitment agency that helps tech companies find talents across Europe.

Our client is a MarTech company building an AI-powered, high-load data platform for predictive marketing analytics. It is a B2B SaaS solution that helps companies understand their unit economics and use predictive analytics to optimize marketing and product performance.

Who we are looking for

We are looking for an inspiring and experienced Data Engineer to take full ownership of our data engineering efforts - from building and maintaining data pipelines and architecture to managing data ingestion, transformation, storage, and data marts.

Tech stack: Python, SQL, Airbyte, Airflow, dbt, Snowflake, ClickHouse, AWS, Terraform

Responsibilities

• Design, build, and manage scalable data pipelines and architectures that facilitate the collection, transformation, and storage of data
• Design and implement ELT processes
• Implement data validation and quality checks to ensure accuracy and consistency, maintaining high data quality and integrity
• Work closely with data scientists and customer success analytics teams, providing the necessary infrastructure and tools to support data-driven decision-making

Qualifications

• 5+ years of data engineering experience, previous background in software engineering and experience building services using object-oriented programming languages
• Excellent knowledge of SQL and Python
• Familiarity with multi-tenant architecture
• Hands-on experience with dbt
• Experience working with OLAP data warehouses (e.g., Snowflake)
• Strong understanding of data structures and storage formats
• Experience with distributed messaging systems (e.g., Apache Kafka or similar)
• Knowledge of Apache Airflow or equivalent workflow orchestration tools
• Experience with AWS cloud platforms and services
• Excellent written and verbal communication skills

Nice to Have

• Practical experience and familiarity with ClickHouse
• Previous experience working with complex systems in domains such as telecom or banking, along with a background in product companies (from startups to large enterprises) where unit economics is applicable: subscription-based companies, e-commerce businesses, mobile apps and games, marketplaces, etc.

What you get

• Competitive salary
• Opportunity to contribute to a data-driven product
• Experienced team with a flat structure where your voice matters and your ideas are welcomed
• Complex technical challenges
• Career growth opportunities, including the potential to move into a head of data role and build a core data team as the company scales - or to further develop as an individual contributor
• Flexibility and remote work
• B2B contract
• Paid vacation