Machine Learning & AI Engineer | SQL

Job Description

We value engineers who think creatively, communicate effectively, and engage confidently with stakeholders. We’re looking for engineers who do more than write code. You’ll listen to client challenges, dig into the core problem, help shape solutions, and explain them clearly. If you want to build something from the ground up with a team that’s already proven it can deliver meaningful outcomes, we’d like to hear from you.

Your tasks and responsibilities:

• Build and maintain scalable data and machine learning pipelines for ingesting, transforming, and delivering data into production environments
• Develop and maintain SQL-driven data models, reports, and analytical outputs that support real business use cases
• Manage and optimise databases, data warehouses, and cloud storage solutions, including platforms such as Databricks, Snowflake, or cloud-native services
• Implement data quality checks, validation processes, and testing to ensure reliable, production-ready systems
• Design, build, and deploy cloud-based solutions across AWS, Azure, or GCP
• Contribute to practical machine learning solutions, including feature engineering, model integration, and pipeline automation
• Take ownership of clearly defined technical components, working independently while collaborating closely with senior engineers and stakeholders
• Engage with internal teams and clients to understand business problems and translate them into workable technical solutions
• Apply modern engineering best practices, including version control, CI/CD, and infrastructure as code

Your qualifications and experience:

• Junior to intermediate hands-on experience in data engineering, analytics engineering, or machine learning-adjacent roles in production environments
• Strong proficiency in SQL and Python, with the ability to write efficient queries, build pipelines, and support analytical and ML workflows
• Experience working with modern data or processing frameworks such as Apache Spark, Airflow, dbt, Kafka, or similar tools
• Practical exposure to machine learning pipelines, applied ML use cases, MLOps concepts, or agent-based / automated workflows is highly regarded
• Solid understanding of relational databases, data modelling, and query optimisation
• Experience working with cloud data platforms such as Databricks, Snowflake, or comparable technologies
• Degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field, or equivalent practical experience
• Strong problem-solving mindset with the ability to work independently, adapt quickly, and approach problems creatively
• Excellent communication skills, with the ability to clearly explain technical concepts to both technical and non-technical stakeholders

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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