OverviewMethods 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

Lead technical aspects of data engineering projects, providing direction and mentorship to junior and mid-level engineers

Design and architect modern data solutions that align with business objectives and technical requirements

Design and implement advanced ETL/ELT pipelines

Build highly scalable and performant data solutions leveraging cloud platforms and open-source software

Develop data models to handle enterprise-level analytical needs

Make critical technical decisions on tools, frameworks, and approaches for complex data challenges

Optimise large-scale data processing systems for performance and cost-efficiency

Implement robust data quality frameworks and monitoring solutions

Evaluate new technologies to enhance our data engineering capabilities

Collaborate with stakeholders to translate business requirements into technical specifications

Present technical solutions to leadership and non-technical stakeholders

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

Elevate the technical capabilities of the entire data engineering team

Help cultivate a data-driven culture within the organisation

Establish technical standards and patterns that ensure quality and maintainability

RequirementsYou Will Demonstrate

Proven experience leading technical aspects of data projects

Strong data architecture and modelling skills with the ability to design scalable data solutions

Experience mentoring junior engineers and providing technical guidance

Deep understanding of data warehouse design principles and methodologies

Advanced knowledge of optimisation techniques for large-scale data processing

Strong proficiency in SQL and Python for handling complex data problems

Hands-on experience with Apache Spark (PySpark or Spark SQL)

Experience with the Azure data stack

Knowledge of workflow orchestration tools like Azure Data Factory or Apache Airflow

Experience with containerisation technologies like Docker

Proficiency in dimensional modelling techniques

Experience with CI/CD pipelines for data solutions

Experience implementing and advocating for test-driven development methodologies in data pipeline workflows, including unit testing, integration testing, and data quality validation frameworks

Strong communication skills for translating complex technical concepts

Track record of successful project delivery in a technical leadership capacity

You may also have some of the desirable skills and experience

Experience designing and implementing data mesh or data fabric architectures

Knowledge of cost optimisation strategies for cloud data platforms

Experience with data quality frameworks and implementation

Understanding of data lineage and metadata management

Experience with technical project management

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

Experience with Kubernetes for container orchestration

Understanding of streaming technologies (Apache Kafka, event-based architectures)

Software engineering background with SOLID principles understanding

Experience with high-performance, large-scale data systems

Knowledge of recent innovations in AI/ML and GenAI

Defence/Public Sector consultant experience

Security ClearanceUKSV (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 ProcessAt Methods Analytics, we believe in a transparent hiring process. Here’s what you can expect:

Internal Application Review

Initial Phone Screen

Technical Interview

Pair Programming Exercise

Final Interview

Offer

BenefitsWorking at MA

Methods Analytics (MA) exists to improve society by helping people make better decisions with data. We use a collaborative, creative and user centric approach to data to do good and solve difficult problems. 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 our colleagues to develop the things they are good at and enjoy.

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:

Annual two-day technical hackathon bringing together all technical teams for innovation and collaboration

Monthly Engineering and Architecture Community of Practice event

Bi-annual whole company teambuilding events bringing everyone together for a day of fun and connection

Development access to Pluralsight and LinkedIn Learning

Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organisation

Private Medical Insurance which is non-contributory (spouse and dependants included)

Worldwide Travel Insurance which is non-contributory (spouse and dependants included)

Discretionary Company Bonus based on company and individual performance

Life Assurance of 4 times base salary

Time off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year

Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution

Wellness 24/7 Confidential employee assistance programme

Social - office parties, pizza Friday and commitment to charitable causes

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

IT Services and IT Consulting

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