Data Engineer - ELT Pipelines & Redshift Platform

Spirii; København; On-site; DKK 650,000 - 900,000; Full time

Benefits offered by this job

Flexible working hours

Competitive salary and pension

32 days holiday including extra days

Professional development opportunities

Office perks and snacks

Job summary

Spirii seeks a hands-on Data Engineer to design and evolve its data platform, building scalable ELT pipelines into Amazon Redshift and ensuring data arrives correctly and on time. You will implement IaC practices and collaborate with analytics teams to strengthen data contracts and governance.

You will own ingestion reliability, implement data quality checks, and help shape the data architecture as Spirii scales in the EV charging domain.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, or related field (or equivalent experience).
• 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-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.
• 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-modeled 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

Data pipelines

Airflow

Databases

Data governance

GDPR

Education

Bachelor's or Master's in CS/Data Engineering

Tools

Amazon Redshift

dbt

Terraform/CDK

Airflow

Job description

Spirii seeks a hands-on Data Engineer to design and evolve its data platform, building scalable ELT pipelines into Amazon Redshift and ensuring data arrives correctly and on time. You will implement IaC practices and collaborate with analytics teams to strengthen data contracts and governance.

You will own ingestion reliability, implement data quality checks, and help shape the data architecture as Spirii scales in the EV charging domain.