Senior Data Engineer

This is a deliveryfocused role for an experienced engineer who enjoys solving complex data challenges, takes ownership of outcomes, and applies strong engineering discipline in realworld environments.

What Youll Be Doing

• Partnering with business and technology stakeholders to build and enhance reliable, scalable data platforms
• Designing, building, and operating batch and streaming data pipelines
• Developing highthroughput, lowlatency data processing systems
• Working within the Databricks and Apache Spark ecosystem to support largescale data workloads
• Building and maintaining cloudnative data solutions on AWS
• Using dbt for data transformation, modelling, testing, and documentation
• Orchestrating data workflows using Airflow or similar orchestration tools
• Writing clean, efficient, and welltested code following software engineering best practices
• Collaborating closely with product, analytics, and platform teams
• Supporting production systems by troubleshooting issues and implementing continuous improvements
• Ensuring solutions are productionready: secure, tested, observable, and costefficient
• Optimising data performance, reliability, and data quality in live environments

Qualifications

What Youll Bring

• 5+ years experience in handson data engineering roles
• We were looking for stronger hands-on technical depth across areas such as building production-grade data pipelines, data quality and validation, Databricks governance/access management, real-time processing, and data security.
• We were looking for more practical experience in designing solutions, explaining technical decisions and trade-offs, and solving complex data engineering problems.
• Candidates who have influenced design and technical decisions with trade offs and rationale.
• Clear, hands-on involvement and ownership across the full lifecycle from design, implementation, testing, Security, Governance, deployment, production support.
• Enterprise-scale environments, large data volumes (between 10s to 100s TBs ),
• Comfortable working with multiple stakeholders (BAs, Architect, Data Scientist, end user).
• Strong handson coding skills in Python, Java, or similar languages, with strong SQL capability
• Proven experience building and operating batch and streaming pipelines in production
• Experience with AWS, Databricks / Spark, and modern data architectures
• Handson experience using dbt for transformations and Airflow (or equivalent) for orchestration
• Solid understanding of data modelling, data quality, and production data systems
• Experience working with relational databases such as Postgres or SQL Server
• Familiarity with CI/CD pipelines, testing frameworks, and monitoring / observability tooling

Nice to Have

• Experience enabling ML, AI, or GenAI workloads through strong data foundations
• Exposure to modern BI and analytics tooling
• Experience working in regulated or securityconscious environments
• Consulting or clientfacing delivery experience