Senior Data Engineer (on-site) - Active SC

Methods; Gloucester; Hybrid; GBP 40,000 - 60,000; Full time

Benefits offered by this job

Development access to LinkedIn Learning

24/7 confidential employee assistance programme

Flexibility to work from home and part-time

25 days annual leave

Pension with employer contribution

Life Assurance

Private Medical Insurance

Job summary

Methods is looking for a Data Engineer to join our team in Gloucester. This permanent position offers the chance to work on client sites while managing data pipelines, storage solutions, and workflows mainly in hybrid environments.

The ideal candidate will have strong Python skills, experience with Azure Data Factory, and knowledge of event streaming technologies like Kafka. Benefits include flexible working options, 25 days of annual leave, and access to a range of wellness programs.

Qualifications

• Strong Python skills for data automation processes.
• Demonstrable experience in ETL or ELT workflows.
• Experience with Azure Data Factory is required.
• Proven ability with Kafka and NATS for event streaming.
• Knowledge of security practices with Keycloak.
• Background in managing Elasticsearch and PostgreSQL.

Responsibilities

• Design and maintain data pipelines using Python/Go/Azure.
• Implement hybrid cloud data storage solutions.
• Automate data flows with Azure Data Factory.
• Handle real-time data streams using event-driven technologies.
• Manage security setups and access controls.
• Develop and manage PostgreSQL databases.

Skills

Python

ETL/ELT

Azure Data Factory

Kafka

Data Security

PostgreSQL

Tools

Elasticsearch

Keycloak

Job description

Methods Business and Digital Technology Limited

Methods is a £100M+ IT Services Consultancy who has partnered with a range of central government departments and agencies to transform the way the public sector operates in the UK. Established over 30 years ago and UK-based, we apply our skills in transformation, delivery, and collaboration from across the Methods Group, to create end-to-end business and technical solutions that are people‑centred, safe, and designed for the future.

Our human touch sets us apart from other consultancies, system integrators and software houses - with people, technology, and data at the heart of who we are, we believe in creating value and sustainability through everything we do for our clients, staff, communities, and the planet.

We support our clients in the success of their projects while working collaboratively to share skill sets and solve problems. At Methods we have fun while working hard; we are not afraid of making mistakes and learning from them.

Predominantly focused on the public‑sector, Methods is now building a significant private‑sector client portfolio.

Methods was acquired by the Alten Group in early 2022.

Methods is currently recruiting for a Data Engineer to join our team on a permanent basis. This role will include some work on client sites and frequent visits to our main offices in London.

Requirements

On-site, Full time.

• Develop and Manage Data Pipelines: Design, construct, and maintain efficient and reliable data pipelines using Python/Go/Azure Data Factory, supporting both streaming and batch data processing across structured, semi‑structured, and unstructured data in on‑premises and Azure environments.
• Hybrid Cloud and Data Storage Solutions: Implement and manage data storage solutions leveraging both on‑premises infrastructure and Azure, ensuring seamless data integration and accessibility across platforms.
• Workflow Automation: Employ tools such as Azure Data Factory to automate data flows and manage complex workflows within hybrid environments.
• Event Streaming Experience: Utilize event‑driven technologies such as Kafka and NATS to handle real‑time data streams effectively.
• Security and Compliance: Manage security setups and access controls, incorporating tools like Keycloak to protect data integrity and comply with legal standards across all data platforms.
• Database Development: Design and develop PostgreSQL databases, ensuring high performance and availability across diverse deployment scenarios.

Essential Skills and Experience

• Strong Python skills: Expertise in Python for scripting and automating data processes across varied environments.
• Experience with ETL/ELT: Demonstrable experience in developing and optimising ETL or ELT workflows, particularly in hybrid (on‑premises and Azure) environments.
• Proficiency in Workflow Automation Tools: Practical experience with Azure Data Factory.
• Experience in Event Streaming: Proven ability in managing and deploying event streaming platforms like Kafka and NATS.
• Data Security Knowledge: Experience with implementing security practices and tools, including Keycloak, across multiple platforms.
• Search and Database Development Skills: Strong background in managing Elasticsearch and PostgreSQL in environments that span on‑premises and cloud infrastructures.

Desirable Skills and Experience

• Certifications in Azure and other relevant technologies: Certifications in cloud and on‑premises technologies are highly beneficial and will strengthen your application.
• Experience in Data Engineering: A minimum of 5 years of experience in data engineering, with significant exposure to managing infrastructure in both on‑premises and cloud settings.
• Some DevOps Engineering experience would be preferable.

Security Clearance

This role will require you to hold Active SC, with the willingness to progress to DV. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website Gov.UK. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview.

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.

Development – access to LinkedIn Learning, a management development programme, and training.

Wellness – 24/7 confidential employee assistance programme.

Flexible Working – including home working and part time.

Social – office parties, breakfast Tuesdays, monthly pizza Thursdays, Thirsty Thursdays, and commitment to charitable causes.

Time Off – 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year.

Volunteering – 2 paid days per year to volunteer in our local communities or within a charity organisation.

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).

Enhanced Maternity and Paternity Pay.

Travel – season ticket loan, cycle to work scheme.

For a full list of benefits please visit our website (www.methods.co.uk/careers/benefits).