Data Platform Engineer — ELT Pipelines & Redshift

Spirii; København; On-site; DKK 700,000 - 900,000; Full time

Benefits offered by this job

Flexible work environment

Competitive package

32 days vacation

Career growth

Coffee & snacks

Job summary

Spirii in Copenhagen is seeking a hands-on Data Engineer to build and evolve Spirii's data platform and pipeline infrastructure. You will design and maintain ELT pipelines pulling data from product backends, third-party services, and operations into Amazon Redshift, focusing on reliability and timely analytics for EV charging, subscriptions, and financial transactions.

You will collaborate with the Data Lead and Analytics Engineers, migrate from Redshift to Databricks, and advance IaC and data

Qualifications

• Bachelor's or Master’s degree in Computer Science, Data Engineering, or related field.
• 3+ years of experience in data engineering or a related role with a strong data focus.
• Strong SQL skills and solid experience building production data pipelines.
• Hands-on experience with a modern data warehouse (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-mindful 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-mindful data handling: PII identification, access control, and data retention policies.
• Partner 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

Data pipelines

Python

ELT/ETL concepts

Data governance

Apache Airflow

Infrastructure as code

Education

Bachelor's or Master's degree in Computer Science or Data Engineering

Tools

Amazon Redshift

dbt

Apache Airflow

Terraform

CDK

Databricks

Job description

Spirii in Copenhagen is seeking a hands-on Data Engineer to build and evolve Spirii's data platform and pipeline infrastructure. You will design and maintain ELT pipelines pulling data from product backends, third-party services, and operations into Amazon Redshift, focusing on reliability and timely analytics for EV charging, subscriptions, and financial transactions.

You will collaborate with the Data Lead and Analytics Engineers, migrate from Redshift to Databricks, and advance IaC and data