Data Engineer

Methods Analytics; Greater London; Hybrid; GBP 60,000 - 80,000

Job description

This range is provided by Methods Analytics. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Methods Analytics (MA) is recruiting for a Data Engineer to join our team on a permanent basis.

This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol.

What You'll Be Doing as a Data Engineer:

• Work closely with cross-functional teams, translating complex technical concepts into clear, accessible language for non-technical audiences
• Collaborate with a dynamic delivery team on innovative projects, transforming raw data into powerful insights
• Design and implement efficient ETL and ELT pipelines using modern tools such as Python, SQL, and Apache Airflow
• Build scalable data solutions leveraging cloud platforms and technologies
• Develop and maintain sophisticated data models, employing dimensional modelling techniques to support comprehensive data analysis and reporting
• Implement best practices in data governance, security, and compliance to maintain data integrity
• Ensure data quality through rigorous QA processes, continuously refining and optimising data queries
• Develop intuitive dashboards that provide actionable insights to stakeholders
• Monitor and tune solution performance to enhance reliability, speed, and functionality of data systems
• Stay ahead of industry trends, continuously enhancing your skills with the latest data engineering tools and methodologies
• Contribute to the development of the Methods Analytics Engineering Practice by participating in our internal community of practice

Your Impact:

• Enable business leaders to make informed decisions with confidence through timely, accurate data insights
• Drive adoption of modern data architectures and platforms
• Deliver seamless data solutions that enhance user experience
• Help cultivate a data-driven culture within the organisation

You Will Demonstrate:

• Strong proficiency in SQL and Python for handling complex data problems
• Experience building and optimising ETL/ELT pipelines
• Hands-on experience with Apache Spark (PySpark or Spark SQL)
• Experience with the Azure data stack
• Knowledge of workflow orchestration tools like Apache Airflow
• Experience with containerisation technologies (Docker)
• Ability to craft efficient and performant queries
• Proficiency in dimensional modelling techniques
• Experience with CI/CD pipelines for data solutions
• Familiarity with test-driven development principles applied to data pipeline construction and validation
• Strong communication skills for translating technical concepts to non-technical audiences
• Business requirements analysis and translation into technical specifications

Security Clearance:

UKSV (United Kingdom Security Vetting) clearance is required for this role, with Security Check (SC) as the minimum standard, either already held or with a willingness to undergo the process. Some roles/projects may require Developed Vetting (DV) clearance; while not mandatory, a willingness to obtain DV clearance would be beneficial.

Our Hiring Process

At Methods Analytics, we believe in a transparent hiring process. Here's what you can expect:

• Internal Application Review
• Initial Phone Screen
• Technical Interview
• Final Interview
• Offer

Working at MA

Methods Analytics (MA) exists to improve society by helping people make better decisions with data. Combining passionate people, sector-specific insight, and technical excellence to provide our customers an end-to-end data service.

We are passionate about our 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

As well as this, we offer:

• Development access to Pluralsight and LinkedIn Learning
• Wellness 24/7 Confidential employee assistance programme
• Social - office parties, pizza Friday 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
• Discretionary Company Bonus based on company and individual performance
• 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)

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology