Senior Data Engineer (on-site) - Active SC

Methods Business and Digital Technology Ltd; Greater London; On-site; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Flexible Working (home working and part time)

25 days annual leave plus bank holidays

Access to LinkedIn Learning

Private Medical Insurance

Job summary

Methods Business and Digital Technology Ltd is hiring a Senior Data Engineer in Greater London. You will design, build, and maintain data infrastructure systems across on-premises and Azure environments.

This role involves managing data pipelines, implementing data storage solutions, and ensuring data security. Ideal candidates should have strong Python skills, experience with Azure Data Factory, and knowledge of Kafka for real-time data streams.

The company offers a collaborative environment, 25 days of annual leave, and various benefits including flexible working.

Qualifications

• Strong Python skills for scripting and automating data processes.
• Experience in developing and optimising ETL or ELT workflows.
• Practical experience with Azure Data Factory.
• Ability in managing event streaming platforms like Kafka and NATS.
• Experience with security practices and tools, including Keycloak.
• Background in managing Elasticsearch and PostgreSQL.

Responsibilities

• Deploy and manage scalable data operations for analytics.
• Manage data pipelines using Python/Go/Azure Data Factory.
• Implement data storage solutions with Azure infrastructure.
• Utilise event‑driven technologies for real‑time data streams.
• Manage security setups and access controls.
• Design and develop PostgreSQL databases.

Skills

Python

ETL/ELT workflows

Azure Data Factory

Kafka

PostgreSQL

Keycloak

Elasticsearch

Go

Job description

Senior Data Engineer – Methods Business and Digital Technology Limited

This role will include some work on client sites and frequent visits to our main offices in London.

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.

Responsibilities

Deploy and manage 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 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.
• Implement and manage data storage solutions leveraging both on‑premises infrastructure and Azure, ensuring seamless data integration and accessibility across platforms.
• Employ tools such as Azure Data Factory to automate data flows and manage complex workflows within hybrid environments.
• Utilise event‑driven technologies such as Kafka and NATS to handle real‑time data streams effectively.
• Manage security setups and access controls, incorporating tools like Keycloak to protect data integrity and comply with legal standards across all data platforms.
• Design and develop PostgreSQL databases, ensuring high performance and availability across diverse deployment scenarios.

Essential Skills and Experience

• Strong Python skills for scripting and automating data processes across varied environments.
• Demonstrable experience in developing and optimising ETL or ELT workflows, particularly in hybrid (on‑premises and Azure) environments.
• Practical experience with Azure Data Factory in environments.
• Proven ability in managing and deploying event streaming platforms like Kafka and NATS.
• Experience with implementing security practices and tools, including Keycloak, across multiple platforms.
• 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 are highly beneficial and will strengthen your application.
• 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

• 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 dependents included).
• Worldwide Travel Insurance – which is non‑contributory (spouse and dependents included).
• Enhanced Maternity and Paternity Pay.
• Travel – season ticket loan, cycle to work scheme.