Job Details

Salary: £40k - £60kMethods Analytics (MA) is recruiting for a Data Engineer to join our team on a permanent basis.This role will be mainly remote but requires flexibility to travel to client sites and our offices based in London, Sheffield, and Bristol.What You'll Be Doing as a Data EngineerWork closely with cross-functional teams, translating complex technical concepts into clear, accessible language for non-technical audiencesCollaborate with a dynamic delivery team on innovative projects, transforming raw data into powerful insightsDesign and implement efficient ETL and ELT pipelines using modern tools such as Python, SQL, and Apache AirflowBuild scalable data solutions leveraging cloud platforms and technologiesDevelop and maintain sophisticated data models, employing dimensional modelling techniques to support comprehensive data analysis and reportingImplement best practices in data governance, security, and compliance to maintain data integrityEnsure data quality through rigorous QA processes, continuously refining and optimising data queriesDevelop intuitive dashboards that provide actionable insights to stakeholdersMonitor and tune solution performance to enhance reliability, speed, and functionality of data systemsStay ahead of industry trends, continuously enhancing your skills with the latest data engineering tools and methodologiesContribute to the development of the Methods Analytics Engineering Practice by participating in our internal community of practiceYour ImpactEnable business leaders to make informed decisions with confidence through timely, accurate data insightsDrive adoption of modern data architectures and platformsDeliver seamless data solutions that enhance user experienceHelp cultivate a data-driven culture within the organisationYou Will DemonstrateStrong proficiency in SQL and Python for handling complex data problemsExperience building and optimising ETL/ELT pipelinesHands‑on experience with Apache Spark (PySpark or Spark SQL)Experience with the Azure data stackKnowledge of workflow orchestration tools like Apache AirflowExperience with containerisation technologies (Docker)Ability to craft efficient and performant queriesProficiency in dimensional modelling techniquesExperience with CI/CD pipelines for data solutionsFamiliarity with test‑driven development principles applied to data pipeline construction and validationStrong communication skills for translating technical concepts to non‑technical audiencesBusiness requirements analysis and translation into technical specificationsYou may also have some of the desirable skills and experienceExperience with data visualisation tools like Power BI or Apache SupersetExperience with other cloud data platforms like AWS, GCP or OracleExperience with modern unified data platforms like Databricks or Microsoft FabricFamiliarity with modern lakehouse architecturesKnowledge of legacy ETL tools like SSISExperience with Kubernetes for container orchestrationUnderstanding of streaming technologies (Apache Kafka, event‑based architectures)Software engineering background with SOLID principles understandingExperience with data governance toolsExperience with high‑performance, large‑scale data systemsFamiliarity with Agile development methodologiesKnowledge of recent innovations in AI/ML and GenAIDefence or Public Sector experienceConsultant experienceSecurity 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 ProcessInternal Application ReviewInitial Phone ScreenTechnical InterviewCollaborative Pair Programming ExerciseFinal InterviewOfferWorking at MAMethods 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 our colleagues to develop the things they are good at and enjoy.By joining us you can expectAutonomy to develop and grow your skills and experienceBe part of exciting project work that is making a difference in societyStrong, inspiring, and thought‑provoking leadershipA supportive and collaborative environmentAs well as this, we offerDevelopment access to Pluralsight and LinkedIn LearningWellness 24/7 Confidential Employee Assistance ProgrammeSocial‑office parties, pizza Friday and commitment to charitable causesTime off – 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each yearVolunteering – 2 paid days per year to volunteer in our local communities or within a charity organisationPension: Salary Exchange Scheme with 4% employer contribution and 5% employee contributionLife Assurance – 4 times base salaryPrivate Medical Insurance – non‑contributory (spouse and dependants included)Worldwide Travel Insurance – non‑contributory (spouse and dependants included)#J-18808-Ljbffr