Data Engineer – AI & Data Platforms

Job Description

We’re now looking for Data Engineers to build the foundations for AI and data-driven solutions in our clients’ organizations.

Who We Are

Our organization helps companies make tech work meaningful. We build platform solutions for engineers, help our clients get AI-ready, and create environments where technology supports real business value.

What You’ll Do

In this role, you’ll be part of client teams designing and building modern data platforms that enable reliable decisions and AI adoption. Your work will make sure that data is trustworthy, accessible, and ready to deliver value quickly.

• Build and maintain data pipelines that support both analytics and AI/ML use cases
• Work with data in different forms — structured, unstructured, streaming — and design models that make sense for the client’s needs
• Implement data storage solutions (warehouse, lake, lakehouse) with the right balance of scalability, cost, and security
• Ensure reliability and trust in data flows through testing, monitoring, and governance
• Collaborate closely with data scientists, ML engineers, and client stakeholders to make sure data can be used in practice, not just theory
• Support deployment and monitoring of AI/ML models, helping clients turn experiments into production-ready solutions
• Be part of shaping our organization’s approach to AI & Data Platforms, influencing tools, methods, and ways of working

What We’re Looking For

Must-haves

• Strong experience with Python (or similar) and SQL for building pipelines
• Knowledge of modern data platforms: warehouses (Databricks, BigQuery, Snowflake, Redshift), lakes, or lakehouses
• Work in cloud environments (AWS, GCP, Azure) with data and AI workloads
• Experience with ETL/ELT and orchestration (Airflow, dbt, Prefect, Dagster, or similar)
• Understanding of data modeling and schema design for analytics and ML
• Familiarity with deploying or supporting AI/ML workflows in production

Nice-to-haves

• Experience with real-time data (Kafka, Kinesis, Pub/Sub)
• Knowledge of observability and lineage tools (e.g. OpenTelemetry, Monte Carlo)
• Awareness of privacy and compliance needs (GDPR, security best practices)

Why this role matters

Clients come to us because they want to move faster with data and AI, but they often lack the foundations. As a Data Engineer, you help them build platforms that bring clarity, trust, and speed. You’ll make it possible for organizations to actually use AI and data in ways that grow their business.

What We Offer

• Work that matters: building AI & data platforms for companies across industries
• Influence: you won’t just follow processes, you’ll help define them
• Collaboration: you’ll work with skilled platform engineers, cloud architects, and advisors in client projects
• Learning and growth: hands-on experience with the newest data and AI technologies
• Flexibility: remote + office options, balance between work and personal life
• Competitive salary and benefits

If this sounds like the right next step for you, we’d love to hear from you!

Please note while applying: we are currently only able to hire talents within the EU, preferably located in Finland or Spain (Malaga). Regarding the requirements listed above, we know that the perfect candidate does not exist - we are all a mix of different skills and experiences and that is great. If you could see yourself working at our organization and have over 8 years of technical experience - we would love to hear from you.

Note for and regarding agencies/recruitment companies: we are happy to take good care of our recruitment process and valuable candidates on our own, no external assistance required at this point.