Senior Data Engineer

People Hive HR Consultancies LLC; Helsinki; Hybrid; EUR 60,000 - 74,000; Full time

Benefits offered by this job

Hybrid work model

Remote work within Finland

Job summary

People Hive is seeking a Senior Data Engineer to design and deliver scalable data platforms, pipelines, and modern data solutions across diverse customer environments. You will work directly with clients, translating complex business requirements into robust technical solutions and high-performance architectures.

The role includes architecture discussions, infrastructure as code, and maintaining high standards for data quality and observability.

Qualifications

• 5+ years of professional data engineering experience.
• Hands-on with Snowflake, Databricks and Microsoft data platforms.
• Strong data architecture and modelling capabilities.
• Experience designing large-scale ELT pipelines.
• Proficient with cloud platforms: Azure, AWS or GCP.
• Fluent in Finnish and English, written and spoken.

Responsibilities

• Design and deliver scalable data platforms and pipelines for diverse clients.
• Translate complex business requirements into robust technical solutions.
• Contribute to architecture discussions and strategic data decisions.
• Implement infrastructure as code and maintain data quality and observability.

Skills

Data engineering

Snowflake

Databricks

Data architecture

Data modelling

ELT pipelines

Azure/AWS/GCP

Finnish & English

Tools

Terraform

CI/CD

Observability

Power BI

Job description

People Hive is supporting a client in Finland in the search for an experienced Senior Data Engineer to design and deliver scalable data platforms, pipelines, and modern data solutions across diverse customer environments.

The client focuses on building robust architectures that enable businesses to use their data effectively. The successful candidate will work directly with customers, translating complex business requirements into practical, high-performance technical solutions.

The role will also contribute significantly to architecture discussions, implement infrastructure as code, and maintain high standards for data quality and observability.

Critical Requirements

• 5+ years of professional experience in Data Engineering
• Strong hands-on experience with Snowflake, Databricks, and/or Microsoft data platforms
• Proven expertise in data architecture and data modelling
• Experience designing and maintaining large-scale ELT solutions and scalable data pipelines
• Strong proficiency in cloud platforms: Azure, AWS, or GCP
• Fluency in both Finnish and English, written and spoken

Important Requirements

• Experience with Infrastructure as Code tools such as Terraform
• Solid understanding of DevOps/DataOps principles, including CI/CD, automated testing, and observability
• Ability to work effectively in a customer-facing capacity

Nice to Have

• End-to-end experience with Snowflake and dbt
• Experience building enterprise-scale solutions on Databricks
• Knowledge of streaming technologies such as Kafka, Spark Streaming, or Flink
• Expertise in data governance, metadata management, lineage, and security
• Experience with GenAI/ML data infrastructure, RAG, or vector databases
• Proficiency in Power BI or semantic modelling

About the Client

The client is a forward-thinking organisation specialising in modern data and AI projects.

The organisation promotes a collaborative and open culture with a strong emphasis on continuous learning and knowledge sharing. Team members have opportunities to participate in hackathons and technical training, helping them remain current with developments in cloud and data technologies.

• Location: Helsinki, Tampere, Jyväskylä, or Remote within Finland
• Working arrangement: Hybrid
• Employment: Full-time
• Seniority: Senior
• Industry: Information Technology / Data Services
• Salary: €5,400–€6,600 gross per month