Data Engineer

We are looking for a Data Engineer to join our analytics team. You will design, build and maintain scalable data pipelines, data warehouses and cloud-based data platforms that support analytics and business decision-making.

You will work closely with cross-functional teams to transform raw data into reliable, accessible datasets while improving the performance, quality and efficiency of our data systems.

Responsibilities

• Design, build, test and maintain databases, data warehouses, data lakes and large-scale data processing systems.
• Develop reliable data pipelines to support analytics, data modelling and production workloads.
• Build and continuously improve ETL/ELT processes based on business requirements.
• Collect, clean and transform structured, semi-structured and unstructured data.
• Prepare data for descriptive, predictive and prescriptive analytics.
• Develop and optimise Oracle SQL, PL/SQL, stored procedures and batch jobs.
• Improve data quality, reliability, availability and processing efficiency.
• Organise and maintain data assets and catalogues for easy access and retrieval.
• Support routine and ad-hoc data requirements from analytics teams, stakeholders and business users.
• Work closely with engineering, analytics and business teams to deliver practical data solutions.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Engineering or a related field
• At least 3 years of relevant experience in data engineering, data warehousing, data processing, data modelling or ETL/ELT development.
• Strong experience in SQL and Oracle PL/SQL development.
• Hands‑on experience building and maintaining data pipelines and data warehouses.
• Experience using Python, Java or another programming language for data processing and automation.
• Experience working with cloud-based data platforms, preferably AWS.
• Familiarity with AWS services such as S3, EC2, Redshift, Athena, EMR or Kinesis.
• Experience with one or more data engineering technologies, such as Apache Airflow, Apache Spark, Hadoop, HDFS, Scala or Hive.
• Good understanding of database architecture, schema design and performance optimisation.
• Strong analytical, problem‑solving and communication skills.
• Ability to work effectively with both technical and business teams.

Preferred Skills

• Experience with real‑time data streaming solutions.
• Familiarity with Kubernetes, containerisation and CI/CD pipelines.
• Experience deploying data services or microservices.
• Experience in data crawling, data lake development or large-scale data processing.
• Knowledge of machine learning, statistical modelling or algorithm development.
• Relevant certifications in cloud computing, data engineering, software development, databases, data science or machine learning.