Data Engineer (Analytics)

Salary:40k - 60k

Methods Analytics (MA) is recruiting for aData Engineerto join our team on a permanent basis.

This role will bemainly remotebut require flexibility to travel to client sites and our officesbased in London Sheffield and Bristol.

What Youll 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 solutionsleveragingcloud platforms and technologies

• Develop andmaintainsophisticated data models employing dimensional modelling techniques to support comprehensive data analysis and reporting

• Implement best practices in data governance security and compliance tomaintaindata integrity

• Ensure data quality through rigorous QA processes continuously refining and optimising data queries

• Develop intuitive dashboards thatprovideactionable 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 theMethods AnalyticsEngineering Practicebyparticipatingin our internal community of practice

Your Impact:

• Enable business leaders to make informed decisions with confidence throughtimelyaccuratedata 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:

• Strongproficiencyin SQL and Python for handling complex data problems

• Experience building and optimising ETL/ELT pipelines

• Hands-on experience with Apache Spark (PySparkor Spark SQL)

• Experiencewith the Azure data stack

• Knowledge of workflow orchestration tools like Apache Airflow

• Experience with containerisation technologies (Docker)

• Ability to craft efficient and performant queries

• Proficiencyin 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 communicationskills for translating technical concepts to non-technical audiences

• Business requirements analysis and translation into technical specifications

Youmay also havesome of thedesirable skills and experience:

• Experience with data visualisation toolslikePower BIorApache Superset

• Experience withothercloud data platformslikeAWS GCPor Oracle

• Experience withmodern unified data platforms like Databricks or Microsoft Fabric

• Familiarity with modern datalakehousearchitectures

• Knowledge of legacy ETL toolslikeSSIS

• 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 isrequiredfor this role with Security Check (SC) as theminimumstandardeither already held or with a willingness to undergo the process. Someroles/projects may require Developed Vetting (DV) clearance; while not mandatory a willingness to obtain DV clearance would be part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard(BPSS); details of the evidencerequiredto apply may be found on the government website 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 you can expect:

1. InternalApplication Review

1. Initial Phone Screen

1. Technical Interview

1. CollaborativePair Programming Exercise

1. Final Interview

1. 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 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 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 designoptimumsolutions. 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. Butmaintaina 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:

• Developmentaccess toPluralsight andLinkedIn Learning

• Wellness24/7 Confidential employeeassistanceprogramme

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

• Time off-25 days of annual leave a year plus bank holidays with theoptionto buy 5 extra days each year

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

• PensionSalary Exchange Scheme with 4% employer contribution and 5% employee contribution
• Life Assuranceof 4 times base salary

• Private Medical Insurancewhich is non-contributory(spouse and dependants included)

• Worldwide Travel Insurancewhich is non-contributory(spouse and dependants included

Required Experience:

IC