Job Description

An international organisation is looking for a Data Engineer to support the development, optimisation, and scalability of modern data infrastructure and processing pipelines. The role focuses on building reliable ETL/ELT workflows, maintaining data quality, and contributing to a scalable data ecosystem used across technical and business teams.

You will collaborate closely with engineering and business stakeholders to design efficient data solutions and improve overall data reliability, automation, and operational performance.

RESPONSIBILITIES:

• Develop and maintain batch and incremental ETL/ELT pipelines

• Build and manage data ingestion processes from APIs and relational databases

• Implement and optimise transformation logic within Data Warehouse environments

• Support data quality validation, monitoring, reliability, and auditability initiatives

• Contribute to containerised and automated workflows within Docker-based environments

• Collaborate with technical teams and business stakeholders to understand data structures and business requirements

• Support schema evolution, deployment workflows, and platform scalability

• Document pipelines, workflows, and technical decisions to ensure maintainability and best practices

• Participate in improving data engineering standards, tooling, and operational processes

• Assist in troubleshooting data pipeline issues and performance bottlenecks

REQUIREMENTS:

• 3-5 years of experience in Data Engineering, Backend Engineering, or Software Engineering

• Strong SQL skills and solid experience with Python

• Good understanding of ETL/ELT concepts and incremental loading strategies

• Experience working with APIs, relational databases, and data integration processes

• Familiarity with cloud data platforms such as BigQuery or Snowflake

• Experience with orchestration tools such as Airflow

• Familiarity with Docker and containerised environments

• Understanding of data modelling principles and structured data environments

• Knowledge of Git and version control workflows

• Awareness of secure data handling and access control best practices

• Strong analytical and problem-solving skills with a structured engineering mindset

• Ability to quickly adapt to new technologies and evolving technical environments

• Strong communication and collaboration skills across technical and non-technical stakeholders

• Fluent English communication skills, both written and spoken

OFFER:

• Full-time position within an international and technology-driven environment

• Medical insurance and pension plan options

• Career growth and long-term development opportunities within a global organisation

• Modern office facilities with fully equipped kitchen and entertainment spaces

• Monthly lunches, corporate events, sports teams, and social activities

• Casual dress code and daily snacks provided

• Collaborative engineering culture focused on innovation and continuous improvement

• Exposure to modern cloud and data engineering technologies in an international setting

Diversity & Inclusion Statement

We are committed to creating an inclusive workplace where everyone can succeed. Applications are welcome from all qualified individuals regardless of background, identity or experience. We particularly encourage candidates who can contribute to our diverse and global team.