3. What Data Engineer Jobs are in the United Kin...Explore numerous data engineer positions that involve designing, building, and maintaining data systems. These roles require expertise in data warehousing solutions, ETL processes, and big data technologies. Data engineers are responsible for ensuring data quality, reliability, and accessibility for various business needs. Job opportunities for data engineers often include working with cloud platforms, such as AWS, Azure, and GCP, and utilizing programming languages like Python, Java, and Scala. Strong analytical and problem-solving skills are needed to optimize data pipelines and improve data infrastructure. Data engineers collaborate with data scientists and analysts to support data-driven decision-making. Consider roles in database administration, data modeling, and data architecture to advance your career. The demand for skilled data engineers is high across industries, offering competitive salaries and growth potential. Search for data engineer jobs and take the next step in your career.## A bachelor's degree in computer science, data science, or a related field is typically required. Proficiency in programming languages like Python, Java, or Scala, and experience with database systems and ETL tools are beneficial. Knowledge of cloud platforms and big data technologies is advantageous.## Data engineers design, build, and maintain data infrastructure. They develop ETL pipelines, ensure data quality, and optimize database performance. They work with data scientists and analysts to provide accessible and reliable data for analysis and reporting.## Top employers include companies like,, and. These companies offer numerous opportunities for data engineers to work on cutting-edge projects and technologies. They provide competitive salaries and benefits packages.The salary range for a data engineer in the UK typically falls between **£45,000** to **£85,000** per year, depending on experience and location. Senior data engineers or those in may earn higher salaries. Compensation can also include bonuses and other benefits.## Data engineers can advance to roles such as senior data engineer, data architect, or data engineering manager. They can specialize in areas like cloud computing, big data, or data security. Opportunities also exist to move into data science or analytics leadership positions.Showing **831** **Data Engineer** jobs in **the United Kingdom**## Data EngineerBirmingham £45,000 - £85,000 per year help\_outlinePosted 7 days agoJob ViewedTap Again To Close### Job Description**Data Engineer**Hybrid: BirminghamSalary: £45000 to £5000.This is an exciting opportunity to step into a hands on Data Engineer role within an analytics team that is growing in both scope and influence. You will play a key part in stabilising and evolving a broad data environment while supporting a business that is increasing its digital footprint and analytical maturity.**The Company**They are an established manufacturer in the healthcare space with a strong reputation for product quality, research, and customer care. The organisation is scaling quickly, expanding internationally, and investing in data as a core enabler for decision making. The culture is collaborative and people focused, with a close knit feel, modern office space, and regular exposure to senior leadership. Their analytics function partners with sales, marketing, operations, and quality teams to provide insight across the business.**The Role**• Maintain and enhance core data pipelines across Azure.• Manage nightly data ingestion from legacy operational systems into Azure SQL.• Build and maintain integrations for CRM, NHS datasets, Google Analytics, and distributor reporting.• Conduct web scraping using Python to support customer and market insight.• Improve data architecture, addressing duplicated, inconsistent, or ad hoc datasets.• Support analysts by ensuring reliable access to clean, accurate data.• Work closely with IT on infrastructure and large data assets.• Produce reporting inputs for sales, marketing, production planning, and quality teams.• Build dashboards and support insight generation for stakeholders across the business.**Your Skills and Experience**• Strong commercial experience with Azure, Python and SQL.• Confident managing and maintaining data pipelines in a production environment.• Comfortable working with APIs and integrating third party data sources.• Able to work hands on from day one and adapt within a mixed modern and legacy environment.• Experience with any of the following is beneficial: Tableau, web scraping, CRM integrations, digital analytics, or working with large healthcare datasets.**How to Apply**If this sounds like the right next step for you, please apply with your CV and we will be in touch.This advertiser has chosen not to accept applicants from your region.## Data EngineerLeeds £45,000 - £85,000 per year help\_outlinePosted 7 days agoJob ViewedTap Again To Close### Job Description**Data Engineer****Hybrid** - 2-days per week in-office in Leeds (inside 1hr commute) / 2-days per month in-office in Leeds (outside 1hr commute)A fast-growing digital transformation consultancy is seeking a Data Engineer to play a key role insupporting the digital transformation journeys of its clients.**What you’ll be doing**We’re looking for someone experienced in guiding teams and supporting clients in using data to enable better decision-making. With exciting plans for our Data Capability in 2026, we’d love to hear from people passionate about building great teams and supporting our internal Data Engineer Academy. Experience with healthcare data—or an interest in working on healthcare-focused data projects—is a bonus.**What you’ll bring*** Design and implementation of complex data pipelines using both NoSQL and relational databases* Development and management of cloud-based data solutions with a focus on scalability and security* Leadership and mentoring of junior data engineers, fostering knowledge sharing and professional growth* Implementation and oversight of CI/CD pipelines for efficient deployment of data services* Strong proficiency in Python, SQL, and other relevant backend languages* Effective use of backend programming languages for data processing and manipulation**Nice-to-have experience (but support will be provided if you don’t have these yet):*** Participation in the organisation and delivery of our internal Data Engineer Academy* Advanced scripting skills for automation of data processes and ETL workflows* Experience with business intelligence (BI) tools to deliver actionable insights* Knowledge of software design patterns, principles, and architecture best practices* Awareness of data engineering trends, particularly around healthcare data standards (e.g., SNOMED, FHIR, HL7)* Understanding of consultancy roles and a passion for solving client problems**The perks*** Competitive salary, benchmarked internally and externally for fairness* Flexible annual leave options (buy, sell, carry forward)* Twice-yearly tax-free bonuses* Continuous training and development—we’ll support your learning ambitions* Flexible pension contributions, matched up to 5%* Regular tech catch-ups, hack events, and encouragement to attend external tech events* A full social calendar including annual parties, away days, and team socials* Free parking at head office locations, plus Cycle2Work and green travel schemes* Opportunities to give back through partnerships focused on improving diversity routes into tech, plus involvement in charity and community initiatives* Hybrid and flexible working to help you collaborate, concentrate, and manage your time effectively**Diversity and Inclusion**We are committed to fostering a diverse, inclusive, and safe environment where everyone is encouraged
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