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:Lead technical aspects of data engineering projects, providing direction and mentorship to junior and mid-level engineersDesign and architect modern data solutions that align with business objectives and technical requirementsDesign and implement advanced ETL/ELT pipelinesBuild highly scalable and performant data solutions leveraging cloud platforms and open-source softwareDevelop data models to handle enterprise-level analytical needsMake critical technical decisions on tools, frameworks, and approaches for complex data challengesOptimise large-scale data processing systems for performance and cost-efficiencyImplement robust data quality frameworks and monitoring solutionsEvaluate new technologies to enhance our data engineering capabilitiesCollaborate with stakeholders to translate business requirements into technical specificationsPresent technical solutions to leadership and non-technical stakeholdersContribute to the development of the Methods Analytics Engineering Practice by participating in our internal community of practiceYour Impact:Enable 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 experienceElevate the technical capabilities of the entire data engineering teamHelp cultivate a data-driven culture within the organisationEstablish technical standards and patterns that ensure quality and maintainabilityRequirementsYou Will Demonstrate:Proven experience leading technical aspects of data projectsStrong data architecture and modelling skills with the ability to design scalable data solutionsExperience mentoring junior engineers and providing technical guidanceDeep understanding of data warehouse design principles and methodologiesAdvanced knowledge of optimisation techniques for large-scale data processingStrong proficiency in SQL and Python for handling complex data problemsHands-on experience with Apache Spark (PySpark or Spark SQL)Experience with the Azure data stackKnowledge of workflow orchestration tools like Azure Data Factory or Apache AirflowExperience with containerisation technologies like DockerProficiency in dimensional modelling techniquesExperience with CI/CD pipelines for data solutionsExperience implementing and advocating for test-driven development methodologies in data pipeline workflows, including unit testing, integration testing, and data quality validation frameworksStrong communication skills for translating complex technical conceptsTrack record of successful project delivery in a technical leadership capacityYou may also have some of the desirable skills and experience:Experience designing and implementing data mesh or data fabric architecturesKnowledge of cost optimisation strategies for cloud data platformsExperience with data quality frameworks and implementationUnderstanding of data lineage and metadata managementExperience with technical project managementExperience 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 FabricExperience with Kubernetes for container orchestrationUnderstanding of streaming technologies (Apache Kafka, event-based architectures)Software engineering background with SOLID principles understandingExperience with high-performance, large-scale data systemsKnowledge of recent innovations in AI/ML and GenAIDefence/Public Sector consultant experienceSecurity 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.Our Hiring ProcessInternal Application ReviewInitial Phone ScreenTechnical InterviewPair Programming ExerciseFinal InterviewOfferBenefitsWorking at MAMethods 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.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 offer:Annual two-day technical hackathon bringing together all technical teams for innovation and collaborationMonthly Engineering & Architecture Community of Practice eventBi-annual whole company teambuilding events bringing everyone together for a day of fun and connectionDevelopment access to Pluralsight and LinkedIn LearningVolunteering - 2 paid days per year to volunteer in our local communities or within a charity organisationPrivate 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 performanceLife Assurance of 4 times base salaryTime off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each yearPension Salary Exchange Scheme with 4% employer contribution and 5% employee contributionWellness 24/7 Confidential employee assistance programmeSocial - office parties, pizza Friday and commitment to charitable causes #J-18808-Ljbffr