# Senior Data engineer (Java/SQL)

> Methods Business and Digital Technology · Glasgow, United Kingdom (Hybrid) · — · Posted 2026-08-03

**Salary:** GBP 60,000–80,000

**Workplace:** hybrid

**Department:** IT - Data & AI

## 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.

## 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)

## Apply

[Apply at Methods Business and Digital Technology](https://apply.workable.com/methods/j/E23BE36D4F/apply)

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