Visa Sponsorship Data Engineer Jobs in UK 2025

We are currently in search of a seasoned data engineer to join our dynamic performance, information, and BI team. In this role, you will be accountable for the design, implementation, and optimization of data pipelines to optimize the loading and maintenance of the data warehouse to satisfy the trust’s data and analytics needs. We cordially invite you to join us during this exciting period as we investigate novel data-driven initiatives and endeavor to modernize our data warehouse.

The optimal candidate for this position would have exceptional problem-solving abilities, strong communication skills, technical expertise in data engineering tools, and strong data analysis skills.

Check Also: Test Engineer Jobs in UK – Visa Sponsorship

A candidate who is effective will possess the following:

• I have a multitude of experience in data engineering and am proficient in the design, construction, and maintenance of data pipelines, data repositories, and/or data lakes.
• Significant experience in the utilization of ETL tools, such as SQL Server Integration Services (SSIS) or an equivalent ETL/ELT tool, as well as T-SQL querying capabilities, including the development of stored procedures, views, tables, and database designs.
• Experience working within the NHS or social care services, as well as an understanding of the key performance indicators for mental health services in the NHS and social care.
• Knowledge of data modeling, database design, and data integration patterns, as well as proficiency in DevOps practices and tools for collaborative development, testing, and deployment.

Key Points:

• Job Type; Full Time
• Location; London, United Kingdom
• Salary: 51,488 – 57,802 £ / Year
• Company: Central and North West London NHS Foundation Trust

Duties of Data Engineer Jobs in UK:

We will assist in the design, implementation, and optimization of data pipelines to facilitate the loading and maintenance of data warehouses in order to meet the trust’s data and analytics needs. The individual in this position will be a technical expert in data engineering tools and practices, and they will be accountable for the creation of scalable and robust data architectures that will enable the organization to implement advanced analytics and reporting capabilities.

the development and deployment of the trust’s data within the data warehouse environment will be the responsibility of the post holder. The trust’s diverse data sources, such as clinical systems, electronic patient record systems, electronic staff records, finance, and other disparate internal and external data sources, are captured by multiple SQL Server databases in this environment.

• Guarantee that the solutions developed, evaluated, and implemented in the SQL Server environment and business intelligence (BI) reporting software meet the end user’s requirements and the Data Engineering team’s development standards.
• Assisting in the development of technical BI skills within the broader Insight & Analytics department, which may encompass Tableau, ETL (SSIS and/or DTS), and T-SQL.
• Collaborate with analytical teams and business consumers to develop high-quality data models for the purpose of reporting and dashboarding.
• Ensure data quality throughout the SQL platform by providing guidance and managing assurance to resolve data quality issues with regional partners and divisional teams.

About us

We are committed to delivering exceptional patient-centered, safe, and effective care, regardless of whether it is delivered in a hospital, community clinic, or the patient’s own home, at Central and North West London (CNWL) NHS Foundation Trust. The patient is our primary concern.

It is imperative to employ the most qualified personnel in order to provide exceptional care. We are perpetually in search of exceptional individuals who are prepared to exceed expectations in order to offer assistance to our patients, colleagues, teams, and trust. We strive to identify our future leaders with each new recruit and will offer our employees the chance to advance their careers.

CNWL provides a wide range of opportunities in a variety of fields, including mental health, community services, addictions, eating disorders, cognitive disabilities, and more, ensuring that there is always a place for you, irrespective of your career stage.

The applicant who is successful may engage with patients or service consumers. In our healthcare environments, vaccination is the most effective method of protecting ourselves, our family, our colleagues, and, of course, patients and service users. As an NHS Trust, we are vehemently in favor of and support vaccination.

Benefits Of Data Engineer Jobs:

• Demand: Organizations are increasingly relying on data to make informed decisions, which has resulted in a high demand for data engineers. Competitive salaries and job security are frequently the result of this elevated demand.
• Competitive Compensation: The specialized skill set of data engineers and the increasing significance of data in businesses typically result in competitive salaries.
• Growth Opportunities: Data engineering is a dynamic field that offers numerous opportunities for career advancement. Data engineers can progress to senior positions, including data engineering manager or lead data engineer, as they accumulate experience.
• Problem Solving: Data engineering is intellectually stimulating and rewarding for individuals who appreciate problem-solving, as it frequently entails the resolution of intricate data challenges.
• Diverse Employment Opportunities: Data engineers are employed in a variety of industries, such as finance, healthcare, e-commerce, and technology, which offers the opportunity to investigate various sectors and domains.
• Contribution to Data Science: Data engineers are essential to the process of data-driven decision-making, as they are responsible for the construction of the infrastructure and pipelines that data scientists and analysts employ to extract insights.
• Job Satisfaction: Data engineers frequently take delight in the tangible influence they have on an organization’s data infrastructure and analytics capabilities.
• Team Collaboration: A multidisciplinary work environment is fostered by the collaboration of data engineers with a variety of teams, such as data scientists, analysts, and IT professionals.
• Learning Opportunities: The data engineering field is in a state of perpetual evolution, providing professionals with the opportunity to remain informed about the most recent technologies and methodologies.
• Remote Work Opportunities: The ability to perform numerous data engineering tasks remotely offers a degree of flexibility in work arrangements.
• Global Job Market: The demand for data engineering skills is global, enabling professionals to investigate job opportunities in various countries.
• Innovation Contribution: Data engineers assist organizations in leveraging the potential of data to enhance products and services and stimulate innovation.
• Work-Life Balance: Numerous organizations in the data engineering sector provide a favorable work-life balance, which may be appealing to individuals who are interested in maintaining a healthful lifestyle.
• Industry Recognition: The data and technology industry holds skilled data engineers in high regard, which results in recognition and respect from employers and peers.

Responsibilities of Data Engineer Jobs:

• Solution Development and Implementation: Ensure all solutions developed, tested, and implemented within the SQL Server environment, as well as business intelligence (BI) reporting software, are aligned with the development standards set by the Data Engineering team and meet the needs of the end users.
• Advancement of BI Skills: Provide continuous support for the enhancement of technical BI skills across the Insight & Analytics department, covering tools such as Tableau, ETL (SSIS and/or DTS), and T-SQL. Foster a culture of learning and improvement in BI technologies.
• Collaboration for High-Quality Data Models: Work closely with business consumers and analytical teams to design and build high-quality data models tailored to reporting and dashboarding requirements. Ensure that data structures meet analytical and business needs effectively.
• Metadata Repository Oversight: Lead the development and management of metadata repositories that support development pipelines and data processes. These repositories will serve as a foundation for ensuring consistency, quality, and clarity in data management practices.
• Data Quality Assurance: Provide guidance and manage efforts to resolve data quality issues in collaboration with regional partners and divisional teams. Ensure that all data across the SQL platform is accurate, consistent, and reliable.

Information Management

• Assume the primary responsibility for ensuring that the critical mandatory NHS national returns (CSDS, CDS, IAPT, and MHSDS) are submitted in accordance with the specifications and deadlines of NHS England.
• Ensure that all pertinent parties are informed of the nature, impact, and timetable of any changes by managing the Trusts NHS Dataset Change Notice (DSCN) Procedure.
• Stay informed about all national reporting developments and respond appropriately to new and/or revised statutory reporting requirements.
• Conducting routine reviews of the NHS England website to identify any modifications to dataset requirements and guaranteeing that these modifications are accurately represented in the Trusts’ reporting.

Planning and Organisation

• Demonstrate and promote the use of the most recent data engineering tools to generate and execute intelligent information reports that integrate, analyze, and establish connections between a variety of information sources to enable more efficient service planning, monitoring, and delivery.
• Develop, construct, and maintain scalable data pipelines to integrate, transform, and transfer data from a diverse array of sources (e.g., clinical systems, external data flows) into the trust’s data platforms.
• a. To enhance and develop one’s understanding of SQL server language and database design concepts, including T-SQL, ETL (SSIS and/or DTS), and Tableau.
• b. In order to ensure the security of a data warehouse, it is imperative to establish comprehensive security measures that protect sensitive patient-identifiable data and allow for adequate access to the appropriate users..
• Acquire a comprehensive understanding of the data models and structures of the IT systems operated by CNWL in order to facilitate the development of new and more complex reporting objects that require effective and intelligent linkage between sources of information held on different systems.
• The ongoing responsibility to uphold minimum standards, establish standards for others, and determine the interpretation and execution of professional and administrative policies
• Training and demonstrations are offered to guarantee the provision and translation of intricate analytical information to non-specialist users, as well as to facilitate their understanding of the analysis.
• The provision of technical assistance to business intelligence administrators in order to establish release schedules for the essential data items
• Ensure that all documentation pertinent to the individual’s area is comprehensive and suitable for its intended purpose, and that all releases are overseen.
• Establish and maintain a culture of continuous improvement and service provision within one’s own domain.
• Assisting team members in the preservation of a current comprehension and knowledge of the information requirements and IT developments of the NHS in relation to trust systems.
• Assist in the strategic planning of team projects by identifying the interdependencies between projects and functions, potential impacts on the broader organization, resource requirements, and the establishment of contingencies and adjustments as necessary.

Collaboration

Establishing Robust Business Partnerships:

• Cultivate relationships with senior counterparts by understanding their strategic goals and aligning BI solutions to those objectives. Consistent, open communication fosters trust.
• Utilize a network of peers to ensure information and methodologies are applied accurately across the organization. This might involve regular check-ins or forums for sharing best practices.

Team Discussion and Knowledge Capitalization:

• Organize problem-solving discussions with a clear agenda. Facilitate active participation by encouraging team members to share their insights, which can lead to innovative solutions.
• As the team leader, leverage their unique expertise to develop creative approaches to addressing data challenges or improving processes.

Participation and Presentations in Meetings:

• When presenting in meetings, ensure your input is insightful and data-driven. Provide evidence-based advice and support that aligns with both the technical and business aspects of the discussions.
• Use visual aids or BI dashboards to make your points clearer and support decision-making with actionable insights.

Personal and Team Development:

• Regularly identify training opportunities for yourself and your team, whether it’s on new BI tools or emerging best practices.
• Foster a culture of continuous learning by encouraging colleagues to share their own professional growth experiences.

Collaborating with DBAs on Data Warehouse Development:

• Work closely with DBAs to ensure the data warehouse models meet the organization’s current and future reporting needs. This includes developing a flexible architecture that can scale as data volumes grow.
• Focus on data security and permissions to ensure that access to sensitive data is controlled and compliant with regulations.

Learning and Development

Supporting Stakeholders in Report Creation:

• Training & Empowerment: Provide role-based training that covers not just the BI system’s functionality, but also its capabilities to customize reports. This can be through hands-on workshops, user manuals, and video tutorials that explain how stakeholders can construct, modify, and present their own reports.
• Ongoing Support: Offer support channels such as a help desk, dedicated BI team members, or an online community/forum where stakeholders can get quick answers to questions. This ensures they feel confident and self-sufficient while using the system.
• Feedback Mechanism: Establish a feedback loop where stakeholders can voice their challenges with the BI system, allowing for timely adjustments to training materials or system features to meet their needs.

Customizing Information Content & Presentation:

• Personalized Dashboards & Reports: Design the system so stakeholders can easily adjust the content, filters, and parameters in reports or dashboards based on their specific needs. Provide tools like drag-and-drop features, drop-down menus for customization, and templates to help them quickly tailor reports.
• Documentation & Tutorials: Develop detailed documentation that explains how to customize report content and presentation. In addition, consider offering advanced training sessions focused on personalizing BI outputs, so stakeholders can dig deeper into the system’s flexibility.
• Use Case Examples: Provide examples of customized reports or dashboards that different teams have created, showcasing the flexibility of the system. This can serve as inspiration and as a point of reference for others.

Proactively Identifying Training and Development Opportunities:

• Needs Assessment: Regularly assess the skills and challenges of your team and stakeholders. Use surveys or informal conversations to identify areas where additional training could improve system usage or team performance.
• Advanced Skills: Identify advanced BI training sessions or external certifications that can help your team become more proficient. Consider offering specialized courses in areas like data visualization, advanced querying, or data analytics to deepen technical knowledge.
• Peer Learning: Encourage peer-to-peer knowledge sharing, such as lunch-and-learns or internal knowledge-sharing sessions where team members or stakeholders can showcase how they’re using the BI system effectively.

Developing Methodologies for Data Collection, Analysis, and Dissemination:

• Standardized Procedures: Establish clear methodologies for how data should be collected, validated, analyzed, and disseminated. This should include steps for ensuring data accuracy, consistency, and security.
• Quality Control: Implement quality control processes, such as data validation checks, review stages, and feedback loops to ensure that the data being used is accurate and up to date.
• Documentation of Procedures: Document the procedures and methodologies so they’re accessible to all stakeholders, ensuring consistency in how data is handled. Include clear guidelines on interpreting the data, selecting the right KPIs, and creating reports that meet stakeholder requirements.
• Assessment & Feedback: After disseminating reports or dashboards, assess the effectiveness of the methodologies. Regularly gather feedback from stakeholders to ensure the methodologies are meeting their needs and adjust them as required.

Management and Leadership Responsibilities

• Empower and cultivate each member of your team to innovate and perform at a high level.
• Actively engage in the annual objective setting, PDR/appraisal processes, and monthly 1:1 management supervision.
• Enhance the knowledge and abilities of staff to promote diversity and equality and to address disparities in service delivery and employment. Guarantee that the PDRs contain a specific equality objective.
• Establish a culture that guarantees the attainment and preservation of the standards of Improving Working Lives and Investors in People for all employees, as well as the measurement and enhancement of their perceptions of their working lives.
• Provide immediate and detailed support to all levels within the team and ensure that all aspects of work within the team (or project team) are well managed and delivered on time, thereby assisting in the resolution of day-to-day issues.
• Offer expeditious and pertinent expert advice and direction regarding one’s own portfolio of projects and analytical domains.

Rider Clause

• The following is a summary of the duties and responsibilities of the position: It is not intended to be an exhaustive list and may be updated periodically to accommodate the trust and department’s evolving requirements.
• The interview committee will examine each application and meticulously select the most qualified candidates within two weeks of the submission deadline.
• If we are able to shortlist a sufficient number of candidates, we may be able to close this posting before the deadline, as we intend to review each application manually without the use of ATS software.
• Your application will be invited for a face-to-face interview, which may be followed by a coding examination on the same day if it is shortlisted. Within one week of the interview date, successful candidates will be contacted.

Education & Qualifications

Essential

• Achieved a master’s degree in a pertinent field or an equivalent qualification.
• A substantial amount of experience in a specialized field at a similar level.

Experience & Knowledge

Essential

• Proficient in the utilization of standard SQL-based query tools.
• Proven experience in data engineering, including the design, construction, and maintenance of data pipelines, data warehouses, and/or data lakes.
• Experience with ETL tools, such as SQL Server Integration Services (SSIS) or an equivalent ETL/ELT utility.
• Working knowledge of data integration patterns, database design, and data modeling.
• Experience with DevOps practices and tools for collaborative development, testing, and deployment.

Desirable

• Understanding of data governance principles, data quality practices, and data security measures.
• Experience with cloud-based business intelligence tools, such as Microsoft Azure BI solutions (e.g., Azure Data Factory, MS SQL Server, Databricks/Snowflake, or an equivalent utility).
• Experience with other programming languages, including Python and R
• Proficient in the utilization of any reporting tool, with a preference for Tableau
• Previous experience in the NHS or social care services and/or knowledge of the key performance indicators for mental health services in the NHS and social care.
• Previous experience in the field of substance dependency or mental health services

Communication Skills

Essential

• Capable of articulating and conveying clear ideas and concepts in a concise and accurate manner to a wide range of audiences, this individual possesses exceptional writing, report-writing, and presentation skills.
• Presenting complex concepts to a diverse audience requires comprehensive and engaging presentational skills.

Analytical Skills

Essential

• The individual possesses a proven capacity to analyze and interpret information, preempt and evaluate issues, and recommend an appropriate course of action to resolve the issues using complex, conflicting data from multiple sources. Additionally, they possess excellent analytical skills.
• Exceptional analytical, critical reasoning, and numeric skills—capable of interpreting, integrating, and effectively communicating data and information from a variety of sources through the use of text, graphs, and tables.
• Capacity to rapidly comprehend a wide variety of intricate information and make decisions in situations where opinions differ or there is no apparent solution

Planning & Organisation Skills

Essential

• Experience in the successful implementation, use, and maintenance of data warehouse solutions to assist an organization
• Experience in the establishment and execution of internal processes and procedures.
• Capable of influencing junior staff team members by establishing, communicating, and demonstrating defined standards and supporting personal development.
• Capable of organizing and directing the efforts of oneself and others to accomplish predetermined team objectives and adhere to stringent and frequently conflicting deadlines.

Desirable

Demonstration of the timely planning and delivery of programs, projects, and services through the use of agile and other methodologies.

Disclosure and Barring Service Check

This position is subject to the Rehabilitation of Offenders Act (Exceptions Order) of 1975. Consequently, it will be necessary to submit a disclosure application to the Disclosure and Barring Service (formerly known as the CRB) to verify any prior criminal convictions.

Certificate of Sponsorship

All other applications will be considered, including those from job seekers who require current skilled worker sponsorship to work in the UK. For additional information, please consult the UK Visas and Immigration website (opens in a new tab).

More Info

Since April 6, 2017, skilled worker applicants who are seeking entry clearance into the United Kingdom have been required to submit a criminal record certificate from each country in which they have resided continuously or cumulatively for 12 months or more in the past decade. This requirement also applies to adult dependents who are over the age of 18. Guidance regarding criminal record checks for overseas applicants is available at this link (opens in a new tab).

More Info

Frequently Asked Questions: