Average Developer Data salary in the UK

About the CompanyOur client is a specialist technology consultancy delivering tailored solutions across financial services, private capital, and defence sectors. Established through a partnership between leading global organisations, the business combines deep industry expertise with cutting-edge technology to solve complex challenges for its clients.The company promotes a collaborative, trust-based culture where employees are empowered to take ownership of their work, develop their skills, and make a meaningful impact. With its headquarters in Newcastle upon Tyne and a growing international presence, the organisation is continuing to expand its capabilities and team.Company CultureThe organisation is seeking talented professionals who:Demonstrate strong communication and collaboration skills.Enjoy working closely with colleagues and business stakeholders to achieve shared goals.Are naturally curious and motivated to explore new ideas and technologies.Thrive in fast-paced environments, tackling complex challenges with creativity and enthusiasm.Take ownership of their work and consistently deliver high-quality outcomes.Have a strong desire to learn, grow, and develop professionally.The OpportunityAn exciting opportunity has arisen for a Data Engineer to join a high-performing Data Analytics team. The successful candidate will play a key role in designing, developing, and maintaining data solutions that support critical business and investment activities.Key ResponsibilitiesDesign, build, and maintain robust data pipelines that integrate data from external vendors, market counterparties, and other sources into a centralised data platform.Contribute to the enhancement and evolution of the firm's data platform, ensuring it continues to meet changing business needs.Perform testing, monitoring, and troubleshooting to maintain platform performance and reliability.Ensure data is accurate, accessible, and of high quality, supporting business-critical decision-making processes.Work closely with internal stakeholders to improve data availability, usability, and overall platform effectiveness.Support continuous improvement initiatives through the adoption of modern data engineering tools, technologies, and best practices.Candidate RequirementsApplications are welcomed from candidates across a range of experience levels.Strong experience designing, developing, and maintaining data pipelines.Proficiency in SQL, Python, AWS, and other modern data engineering technologies.Experience with version control tools (e.g., Git) and workflow orchestration platforms (e.g., Airflow).Proven ability to test, troubleshoot, and improve data platforms, ensuring high levels of reliability and data quality.Strong interpersonal and communication skills with the ability to work effectively in collaborative team environments.Self-motivated, detail-oriented, and eager to learn new technologies and methodologies.Bachelor's degree in a relevant discipline or equivalent qualification.

As a Data Scientist in Leeds, you'll focus on analysing data and creating models to support business decisions within the financial services industry. Your work will help uncover insights and drive strategies that provide actionable insight and deliver value.Client DetailsOur client, is a market leading financial services business, based in Leeds. Due to continued growth they are looking for a Data Scientist to support the strategic use of data within the business. DescriptionDuties of the Data Scientist:Analyse large datasets to identify trends and actionable insights.Develop predictive models and algorithms to solve business challenges.Collaborate with stakeholders to understand data requirements and deliver solutions.Present findings in a clear and concise manner to non-technical audiences.Support the development and maintenance of data pipelines and infrastructure.Validate and optimise data models to ensure accuracy and reliability.Stay updated on industry trends and advancements in data science techniques.Work as part of a collaborative analytics team to meet business objectives.ProfileA successful Data Scientist should have:Strong analytical and problem-solving skills.Experience with data analysis, modelling, and visualisation tools.Knowledge of programming languages such as Python, R or SQL.Ability to communicate complex data insights clearly.Experience producing clear reports and analysis for all stakeholdersKnowlege of GIS tools Understanding of statistical techniques and machine learning methods.Attention to detail and commitment to data accuracy.Great communication Job OfferCompetitive salary ranging from £40000 to £48000, dependent on the level of experience.Permanent position based in LeedsHybrid working patternBenefits package to be confirmed.If you're interested in this role, apply now.People are at the heart of Michael Page. We are committed to creating an inclusive environment. As an inclusive recruiter we welcome applications from people of all backgrounds, identities and experiences. If you require any adjustments or accommodations during the recruitment process, we'll work with you to ensure you can perform at your best.

This leading commercial retailer are looking for an experienced Data Engineer to join them as part of their continued data build & enablement strategy. As a Data Engineer, you will be responsible for developing and maintaining data pipelines, optimising databases, creating ETL processes, designing data models and ensuring data quality.Client DetailsLeading Global Commercial Retailer based in Nottingham.DescriptionThis leading commercial retailer are looking for an experienced Data Engineer to join them as part of their continued data build & enablement strategy. As a Data Engineer, you will be responsible for developing and maintaining data pipelines, optimising databases, creating ETL processes, designing data models and ensuring data quality. Reporting into the Lead Data Engineer, you will use your expertise in data engineering to derive valuable insights from data assets and shape data excellence across the organisation.Key Responsibilities:Develop and maintain robust data pipelines to ingest, process, and transform data from various sources, while ensuring data reliability and qualityImplement seamless data integration processes supporting the continuous flow of information across the organisationDesign, optimise and manage databases to proficiently oversee data retrieval and storage, prioritising performance, availability and scalabilityCraft efficient ETL processes transforming raw data into usable formats, including data cleaning, aggregation, and enrichment, streamlining data processing for enhanced efficiencyBuild and maintain data warehouses for structured data storage, ensuring it is organised for easy retrieval, reporting and analysisImplement stringent data quality checks and validation processes to ensure high accuracy, proactively monitoring and rectifying data integrity issuesOptimise data pipelines and databases for performance and scalability, anticipating future growth and evolving business needsEnforce robust data security measures to uphold privacy regulations and safeguard against unauthorised access, ensuring data asset protectionMaintain comprehensive documentation for data pipelines, processes, and models, ensuring seamless knowledge transfer and ongoing supportCollaborate closely with cross-functional teams, fostering a data-driven culture by understanding requirements and delivering effective solutions togetherProfileKey Skills & Expertise:Proven experience as a Data Engineer or similar roleFull UK Driving Licence requiredStrong SQL skills with relational and NoSQL databasesDemonstrated experience with data pipeline and ETL tools (e.g. Azure Data Factory, Azure Logic Apps, Databricks, API's)Understanding of different data environments (Data Lakes, Synapse, Delta Lakes)Proficiency in programming languages such as Python, Java, or ScalaSound knowledge of data modelling, database design principles, data warehousing and data visualisation toolsExcellent attention to detail and creativity to design, develop and inform overall business strategyAbility to work collaboratively and is open to new ideas whilst appreciating the difference each person makesJob OfferPermanent Data Engineer position.Salary of £55,000 to £57,000, dependent on the level of experience.Excellent Benefits PackageOne day per week onsite in Nottingham, on Tuesdays.If you're interested in this role, apply now.People are at the heart of Michael Page. We are committed to creating an inclusive environment. As an inclusive recruiter we welcome applications from people of all backgrounds, identities and experiences. If you require any adjustments or accommodations during the recruitment process, we'll work with you to ensure you can perform at your best.