The posting
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.
We are seeking a seasoned Senior Data Engineer to join our team. This role is essential for designing, building, and maintaining sophisticated data infrastructure systems that operate across both on-premises and Azure cloud environments. The position involves deploying and managing scalable data operations that support advanced analytics and data-driven decision-making, crucial for our organisational growth and innovation.
Requirements
- 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: Utilise 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: Designing and developing 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 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 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.
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
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 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)
