Senior Data engineer (Java/SQL)
Methods Business and Digital Technology · Glasgow, Scotland, United Kingdom
Information Technology & Services · 201-500 employees
About the role
Design, develop, and maintain scalable data pipelines and backend processing applications using Java and SQL. Collaborate with stakeholders to optimize data models, database performance, and ensure high-quality data integration.
What they look for
Requirements
Requires 5+ years of professional Java experience and advanced SQL skills including performance tuning and data modelling. Candidates should have experience with ETL/ELT pipelines and relational database management.
Benefits
Full description
We are seeking a Senior Data Engineer with strong SQL and Java expertise to design and deliver scalable data solutions.
In this role, you will leverage Java's robustness and Scala's functional data-processing power to build scalable pipelines, manage distributed big data frameworks, and optimize our data platform.
Location: 3days/w onsite in Glasgow
Key Responsibilities
- Design, develop, and maintain scalable data pipelines to support data integration, transformation, and analytics requirements.
- Write efficient, high-performance SQL queries, stored procedures, and data transformation logic.
- Build and maintain backend data processing applications using Java.
- Develop scalable APIs and microservices architectures.
- Work with batch and near real-time data processing frameworks to deliver reliable data solutions.
- Optimise data models, database performance, and query execution.
- Collaborate with data architects, analysts, and business stakeholders to translate requirements into scalable data solutions.
- Implement automated testing, monitoring, and data quality controls across the data platform.
Essential Skills & Experience
- Java: 5+ years of professional experience with Java (Version 11 or higher preferred).
- Advanced SQL skills with experience in performance tuning, data modelling, and complex query development.
- Strong Java development experience, including object-oriented design and enterprise application development.
- Experience designing and developing ETL/ELT pipelines.
- Experience working with relational databases such as PostgreSQL, SQL Server, Oracle, or MySQL.
- Understanding of data warehousing concepts and dimensional modelling.
- Experience with version control systems such as Git.
- Knowledge of cloud-based data platforms and modern data engineering practices.
Desirable Skills
- Experience with Scala development.
- Experience with Apache Spark or other distributed data processing frameworks.
- Experience with Kafka, Event Hubs, or other streaming technologies.
- Exposure to cloud platforms such as Azure, AWS, or GCP.
- Experience with CI/CD pipelines and DevOps practices.
- Familiarity with data lake and lakehouse architectures.
- Experience in banking or financial services industry
Benefits By joining us you can expect
- Autonomy to develop and grow your skills and experience
- Be part of exciting project work that is making a difference in society
- Strong, inspiring and thought-provoking leadership
- A supportive and collaborative environment
As well as this, we offer:
- Development access to LinkedIn Learning, a management development programme and training
- Wellness 24/7 Confidential employee assistance programme
- Social - Breakfast Tuesdays, Thirsty Thursdays and Pizza on the last Thursday of each month as well as commitment to charitable causes
- Time off 25 days a year; plus the opportunity to purchase extra leave per year
- Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution
- Life Assurance of 4 times base salary
- Private Medical Insurance which is non-contributory (spouse and dependants included)
- Worldwide Travel Insurance which is non-contributory (spouse and dependants included)
