Salary:
£40k - £60k
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
Requirements
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
You may also have some of the desirable skills and experience:
Experience with data visualisation tools like Power BI or Apache Superset
Experience with other cloud data platforms like AWS, GCP or Oracle
Experience with modern unified data platforms like Databricks or Microsoft Fabric
Familiarity with modern data lakehouse architectures
Knowledge of legacy ETL tools like SSIS
Experience with Kubernetes for container orchestration
Understanding of streaming technologies (Apache Kafka, event-based architectures)
Software engineering background with SOLID principles understanding
Experience with data governance tools
Experience with high-performance, large-scale data systems
Familiarity with Agile development methodologies
Knowledge of recent innovations in AI/ML and GenAI
Defence or Public Sector experience
Consultant experience
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. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard (BPSS); details of the evidence required to apply may be found on the government website GOV.UK - Government baseline personnel security standard. 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.
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
Collaborative Pair Programming Exercise
Final Interview
Offer
Benefits
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 use a collaborative, creative and user centric approach to data to do good and solve difficult problems. Ensuring that our outputs are transparent, robust, and transformative. We value discussion and debate as part of our approach. We will question assumptions, ambition, and process - but do so with respect and humility.
We relish difficult problems, and overcome them with innovation, creativity, and technical freedom to help us design optimum solutions. Ethics, privacy, and quality are at the heart of our work, and we will not sacrifice these for outcomes.
We treat data with respect and use it only for the right purpose. Our people are positive, dedicated, and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers.
We are passionate about our people; we want out 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
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