Senior Data Engineer
An exciting opportunity has arisen for a Senior Data Engineer to join my client’s dynamic and growing data team. In this role, you will work across the full data lifecycle—streaming, enrichment, and curation—within a cloud-based environment. You will be responsible for ensuring data quality, integrating key data sets, and supporting the insights and data science teams.
As part of this role, you will also develop your expertise in Artificial Intelligence (AI) and Machine Learning (ML), with access to advanced training in ML Ops.
Key Responsibilities:
Automate and maintain data pipelines within a cloud-based environment (AWS/GCP/Azure). Source and verify data from multiple sources, ensuring it is ready for ingestion. Gain experience in data infrastructure and contribute to the development of new cloud-based methodologies. Analyse large datasets using Python and SQL. Set up new pipelines for data streaming, enrichment, and curation. Manage and maintain source code repositories (GitHub). Investigate and apply AI/ML solutions to enhance cloud capabilities.
Key Skills & Experience:
Strong proficiency in SQL and Python. Experience in cloud data solutions (AWS, GCP, or Azure). Experience in AI/ML. Experience with PySpark or equivalent. Strong problem-solving and analytical skills. Excellent attention to detail. Ability to manage stakeholder relationships effectively. Strong communication skills and a collaborative approach.
Why Join Us?
Work with cutting-edge technologies in cloud data engineering and AI/ML. Opportunity for career growth and professional development. Be part of an innovative and forward-thinking data team.
If you are a motivated Senior Data Engineer with a passion for cloud technologies, AI, and data analytics, we’d love to hear from you.
