Data Platform Engineer - ELT Pipelines & Redshift

ApplyMint; Denmark; On-site; DKK 700,000 - 950,000; Full time

Benefits offered by this job

Flexible work environment

Competitive salary & benefits

Paid vacation days

Career growth

Office coffee & snacks

Job summary

Spirii in Copenhagen, Denmark is seeking a hands-on Data Engineer to build and evolve its data platform and ELT pipelines, ensuring data arrives in Amazon Redshift on time and with quality.

You will design scalable pipelines from product backends and third-party services, implement infrastructure-as-code, and work with analytics teams to enable reliable insights across EV charging events, subscriptions, and transactions.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
• 3+ years of experience in data engineering with a strong data focus.
• Strong SQL and production data pipeline experience.
• Experience with modern data warehouses (Redshift preferred; BigQuery/Snowflake/Databricks also relevant).
• Experience with orchestration tools (Apache Airflow or similar).
• Proficiency in Python for data work (pipeline scripts, transformations, tooling).
• Solid understanding of ELT/ETL concepts, including incremental loading, CDC, and idempotency.
• Familiar with infrastructure-as-code (Terraform, CDK, or similar).
• Familiar with data governance concepts: access control, PII handling, GDPR-minded practices.

Responsibilities

• Design, build, and maintain scalable ELT pipelines that bring data from product backends, third-party services, and operational systems into Amazon Redshift.
• Own ingestion reliability: monitoring, alerting, and incident response for pipeline failures.
• Evaluate and improve orchestration tooling and scheduling.
• Evolve Spirii's data platform architecture: storage, compute, access control, and cost optimisation in Redshift.
• Implement and maintain infrastructure-as-code practices for data workflows (Terraform/CDK or similar).
• Build and maintain CI/CD pipelines for data infrastructure and transformations.
• Implement data quality checks, freshness monitoring, and anomaly detection across ingestion and transformation layers.
• Work with Analytics Engineers and domain teams to define and enforce data contracts and schema standards.
• Ensure GDPR-compliant data handling: PII identification, access control, and data retention policies.
• Collaborate with Engineering and Product teams to instrument events correctly at the source — schemas, identifiers, and change management.
• Collaborate with Data team to ensure the analytics layer is built on reliable, well-modelled foundations.
• Contribute to a strong data culture by creating and enhancing documentation, runbooks, data lineage, discoverability and incident response capabilities.

Skills

SQL

Python

ETL/ELT

Airflow

Data governance

Education

Bachelor's or Master's in CS/DE

Tools

Terraform

CDK

dbt

Amazon Redshift

Job description

Spirii in Copenhagen, Denmark is seeking a hands-on Data Engineer to build and evolve its data platform and ELT pipelines, ensuring data arrives in Amazon Redshift on time and with quality.

You will design scalable pipelines from product backends and third-party services, implement infrastructure-as-code, and work with analytics teams to enable reliable insights across EV charging events, subscriptions, and transactions.