Methods

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.

Requirements

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

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)