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Senior Data Engineer (on-site) - Active SC

Remote / Online - Candidates ideally in
Greater London, London, Greater London, W1B, England, UK
Listing for: Methods Business and Digital Technology
Remote/Work from Home position
Listed on 2026-08-11
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 60000 - 100000 GBP Yearly GBP 60000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Methods Business and Digital Technology Limited

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

Responsibilities
  • Develop and Manage Data Pipelines:
    You will design, construct, and maintain efficient and reliable data pipelines using Python/Go/Azure Data Factory, capable of 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.
Qualifications
  • Strong Python Skills
    :
    Expertise in Python for scripting and automating data processes across varied environments.
  • Experience with ETL/ELT
    :
    Demonstrable experience in developing and optimizing ETL or ELT workflows, particularly in hybrid (on-premises and Azure) environments.
  • Proficiency in Workflow Automation Tools
    :
    Practical experience with Azure Data Factory in environments.
  • 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
  • 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 Dev Ops Engineering experience would be preferable.

Security requirements:
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  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

Methods is passionate about its people; we want our colleagues to develop the things they are good at and enjoy.

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 Linked In 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

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Position Requirements
10+ Years work experience
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