We are looking to recruit for one of our clients, a technology company providing cloud, data and digital solutions. The company supports organisations with cloud adoption and modernisation, data analytics, automation and security, delivering scalable and reliable technology platforms.

Data Engineer

Level of expertise: Senior
Location: Remote
Employment type: Full-time

General description of the role:

Designs, builds, and maintains scalable data pipelines and infrastructure to enable efficient processing and analysis of large, complex datasets. Works collaboratively on-site and with clients to support workshops, meetings, and knowledge sharing, ensuring impactful solutions. Requires skills in cloud platforms (GCP, AWS, or Azure), SQL, and a programming language (Python preferred).

Skills, Experience and Knowledge:

- experience with cloud platforms such as Amazon Web Services (AWS) or Google Cloud Platform (GCP);

- proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or Oracle;

- experience with big data technologies such as Hadoop, Spark, or Hive;

- familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow;

- proficiency in at least one programming language such as Python, Java, or Scala;

- srong analytical and problem-solving skills with the ability to work independently and in a team environment.

Main duties / responsibilities:

Develop and maintain automated data processing pipelines using Google Cloud:

- design, build, and maintain data pipelines to support data ingestion, ETL, and storage;

- build and maintain automated data pipelines to monitor data quality and troubleshoot issues;

Implement and maintain databases and data storage solutions:

- stay up-to-date with emerging trends and technologies in big data and data engineering;

- ensure data quality, accuracy, and completeness;

Implement and enforce data governance policies and procedures to ensure data quality and accuracy:

- collaborate with data scientists and analysts to design and optimise data models for analytical and reporting purposes;

- develop and maintain data models to support analytics and reporting;

- monitor and maintain data infrastructure to ensure availability and performance.

Benefits:

Compensation and Financial Well-being

- discretionary company bonus scheme;

- employee referral scheme;

- meal Vouchers.

Health and Wellness

- health Care Package;

- life and Health Insurance.

Work-Life Balance and Growth

- bookster;

- 28 days of annual leave;

- floating bank holidays;

- an extra paid day off on your birthday;

- ten paid learning days per year;

- flexible working hours;

- sabbatical leave (after 5 years).

- work from anywhere (up to 3 weeks per year);

- industry-recognised training and certifications;

- bonusly: employee recognition and rewards platform.

- clear opportunities for career development.

- length of Service Awards;

- regular company events.

Our client values diversity and seeks individuals who are curious, open-minded, creative, with a passion for their work. If you're ready to be part of this and job description resonates with you, take the next step and join our client global team by sending us your resume!