Mid-level Data Engineer for Circle Gas

Recruit IT; København; On-site; DKK 500,000 - 700,000; Full time

Job summary

Et teknologifirma i København søger en Data Engineer til at hjælpe med at bygge og vedligeholde infrastrukturen for deres datapipeline. Du vil skrive produktionsklare ETL-kode og sikre dataenes kvalitet. Stillingen kræver erfaring i Data Engineering med færdigheder i Python og SQL, samt erfaring med værktøjer som Apache Spark og Airflow. Der tilbydes et dynamisk arbejdsmiljø med fokus på samarbejde og vækst.

Qualifications

• Solid erfaring i Data Engineering, i stand til at tage en funktion fra koncept til produktion.
• Stærke kodningsevner i Python og SQL.
• Erfaring med Apache Spark (PySpark) og workflow orchestration tools som Airflow.

Responsibilities

• Design, byg og vedligehold skalerbare datapipelines ved hjælp af PySpark og Apache Airflow.
• Bidrag aktivt til administrationen af vores data lakehouse ved hjælp af Apache Iceberg på Amazon S3.
• Implementere automatiseret test og overvågning for at sikre pålidelighed af data.

Skills

Data Engineering

Python

SQL

PySpark

Apache Airflow

Terraform

Machine Learning concepts

Job description

Overview

Help build and maintain the infrastructure that powers our decision-making.

You will join a team responsible for a massive AWS Data Lakehouse environment, handling high volume telemetry data from our IoT network.

As a Data Engineer, you will move beyond simple tasks to owning full features of the data pipeline. You will write production-grade ETL code, ensure data quality, and contribute to the architectural design of our maturing data platform.

Key Responsibilities

• Pipeline Development: Design, build, and maintain scalable data pipelines using PySpark and Apache Airflow to ingest and process IoT telemetry data
• Lakehouse Architecture: actively contribute to the management of our data lakehouse using Apache Iceberg on Amazon S3
• Data Quality: Implement automated testing and monitoring to ensure the accuracy and reliability of data flowing into the lake
• Infrastructure as Code: Utilize Terraform to manage and deploy data infrastructure, ensuring repeatable and secure environments
• Collaboration: Partner with analysts and software engineers to understand data requirements and deliver efficient solutions
• Growth: Participate in release planning and design reviews, ensuring that we are building sustainable and scalable data products
• Experience: Solid experience in Data Engineering, capable of taking a feature from concept to production
• Tech Stack: Strong coding skills in Python and SQL
• Big Data Tools: Experience with Apache Spark (PySpark) and workflow orchestration tools like Airflow
• Modern Data Architecture: Familiarity with Table Formats (e.g., Iceberg, Delta Lake) and AWS storage (S3)
• Bonus: Exposure to Machine Learning concepts or ML Ops pipelines

Qualifications

About Circle Gas

Circle Gas is a revolutionary company focused on transforming the lives of people in sub-Saharan Africa and beyond.

We are scaling rapidly to support 2 million households (10 million people), providing clean, safe, and affordable cooking fuel. Data is the lifeblood of our operation—from billing 10 million customers to optimizing logistics in remote areas.

Details

• Stillingsdetaljer
• Arbejdssted: København V

Ansøgningsfrist: as soon as possible

Kontaktperson: Johni Petersen
[e-mail]
Mobil: [phone]