95 Data Integration jobs in the United Kingdom

**Data Integration Project Manager** (Contract)

Duration: 12 Months (Possibility for extension)

Location: London/Hybrid (2 days on site)

Rate: A highly competitive Umbrella Day Rate or Salary is available for suitable candidates

Role Profile

This is a delivery focused role designed to support the governance, risk, and dayto day delivery operations of the Markets Platform. The Project Manager will work closely with the Business Management Lead and senior stakeholders across business and technology to coordinate governance reporting, manage risk processes, and produce high quality programme materials.

You'll also provide practical support across people data, headcount tracking, and strategic workforce planning.

The role sits at platform level and plays a critical role in keeping the wider programme aligned, on track, and compliant with internal delivery standards.

Key Responsibilities:

• Platform Support: Day-to-day support to the Business Management Lead and platform leads across business and technology, structured coordination across risk, governance, and delivery planning. Ensure quality control of submissions for Executive and Platform forums.
• Governance & Delivery Reporting: Own the production and timely submission of governance packs, status reports, and QBR materials, coordinate and maintain logs for actions, risks, and decision points tied to key platform initiatives. Ensure JIRA (or tooling equivalent) is maintained accurately to reflect real-time programme status.
• Risk & Audit Administration: Support the platform leadership on risk-related activities including audit responses and control tracking, support the Divisional Resilience and Security Office where applicable to ensure alignment. Ensure documentation and audit trails are consistently maintained and available on request
• Stakeholder Engagement: Act as a reliable partner to internal customers, ensuring clear communication and follow-through, maintain strong working relationships with Product Owners, Programme Leads, Risk, COO, and Business Management. Support the resolution of issues where delivery milestones are impacted by regulatory or operational dependencies
• Workforce Data & People Activity: Maintain headcount trackers and support preparation of people data for platform leads, help track strategic workforce planning commitments across the year and coordinate any process changes tied to productivity or operating model shifts.
• Change & Operating Model Support : Provide structured input into operating model reviews, platform transitions, or wider divisional change activities. Act as a sounding board for identifying process inefficiencies or control gaps
• Financial & Operational Reporting: Support preparation of materials related to programme costs, budget position, and platform investment asks. Help produce structured reporting for BRP, QBR and platform level planning exercises.

Skills & Experience:

• Governance & Compliance: Track record in enforcing governance frameworks, working across complex delivery plans, and ensuring documentation standards are met. You understand how to keep things compliant without making them bureaucratic.
• PMO Controls & Challenge: Strong experience managing end-to-end PMO controls (RAID, stage gates, resource planning, risk logs) with the confidence to challenge when deliverables or quality slip.
• Stakeholder Management: Comfortable working across business, technology, finance, and risk stakeholders.
• Strong user of Excel
• Strong PowerPoint capability - clear storytelling, formatting and exec readability
• Experience in JIRA / JIRA Align, and basic knowledge of Power BI
• Exposure to Microsoft Project or similar planning tools is useful
• Proven experience supporting senior leaders in complex change environments, preferably within financial services
• Working knowledge of risk frameworks, governance models, and platform delivery lifecycle
• Familiarity with financial planning, budget tracking, and audit preparation is beneficial

Candidates will need to show evidence of the above in their CV in order to be considered.

If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team.

We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset.

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.

As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment.

My client iscurrently looking for a Contract Business Analyst experienced within Data and Integrations projects

This role will focus on analyzing, understanding, documenting, and visualizing of how data flows through their application landscape.

The aim is to build a data-centric view ofcurrent systems, helping to identify overlaps, inefficiencies, and opportunities for future integration, automation, and modernization.

Key Responsibilities

• Collaborate with application owners, IT teams, business stakeholders, and third-party support partners to understand how data is captured, stored, and transferred across systems.
• Conduct detailed field-level mapping between user interfaces, APIs, and underlying databases for key applications.
• Document data flows between systems, including batch processes, API integrations, manual imports/exports, and ETL pipelines.
• Develop and maintain a comprehensive data catalog capturing critical fields, attributes, formats, and associated business rules.
• Support the creation of interface documentation, including source-to-target mappings, data types, and transformation logic.
• Produce clear and informative visual documentation, such as:
  • Field mapping tables
  • Integration diagrams
  • Data flow diagrams
  • Data dictionaries for key business entities
• Collaborate with integration and data teams to validate mapping accuracy and ensure consistency across systems.
• Identify and document redundant data stores, duplicate fields, and inconsistencies in data values across applications.
• Contribute to the development of a lightweight governance framework for maintaining and updating data documentation.
• Assist in establishing a sustainable framework for maintaining the application inventory.

Key Deliverables

• Field-level data maps for priority applications
• Detailed integration flow documentation with both field-level and system-level granularity
• Comprehensive data catalog including field descriptions, formats, value lists, and business rules
• Source-to-target mappings for core system interfaces
• Visual assets including data flow diagrams and integration maps
• Contributions to a sustainable framework for ongoing data documentation and application inventory maintenance

Candidate Requirements

• Experienced in roles such as Application Analyst, Data Analyst, Systems Analyst, or similar positions
• Strong understanding of enterprise application ecosystems and data integration principles
• Hands-on experience with data mapping, interface documentation, and integration analysis
• Familiarity with databases, APIs, and data structures including JSON, XML, and relational tables
• Basic proficiency in SQL for querying and analyzing data
• Skilled in using tools such as Excel, Lucidchart, Visio, Miro, or equivalent platforms
• Strong analytical mindset with a structured, detail-oriented approach to problem-solving
• Effective time management and organizational skills
• Comfortable working in cross-functional teams and adaptable to evolving requirements
• Awareness of data governance, privacy standards, and integration security best practices is a plus

My client is currently looking for a Contract Business Analyst experienced within the review and analysis of current Data and Integration environments/processes.

This role will focus on analyzing, understanding, documenting, and visualizing of how data flows through their application landscape - ERP, CRM, OCR, ETL, API, DWH and bespoke systems and additional tools.

The aim is to build a data-centric view of current systems, helping to identify overlaps, inefficiencies, and opportunities for future integration, automation, and modernisation.

12 Month contract

Remote based - Must be UK Citizen

Key Responsibilities

• Collaborate with application owners, IT teams, business stakeholders, and third-party support partners to understand how data is captured, stored, and transferred across systems.
• Conduct detailed field-level mapping between user interfaces, APIs, and underlying databases for key applications.
• Document data flows between systems, including batch processes, API integrations, manual imports/exports, and ETL pipelines.
• Develop and maintain a comprehensive data catalog capturing critical fields, attributes, formats, and associated business rules.
• Support the creation of interface documentation, including source-to-target mappings, data types, and transformation logic.
• Produce clear and informative visual documentation, such as:
• Field mapping tables
• Integration diagrams
• Data flow diagrams
• Data dictionaries for key business entities
• Collaborate with integration and data teams to validate mapping accuracy and ensure consistency across systems.
• Identify and document redundant data stores, duplicate fields, and inconsistencies in data values across applications.
• Contribute to the development of a lightweight governance framework for maintaining and updating data documentation.
• Assist in establishing a sustainable framework for maintaining the application inventory.

Key Deliverables

• Field-level data maps for priority applications
• Detailed integration flow documentation with both field-level and system-level granularity
• Comprehensive data catalog including field descriptions, formats, value lists, and business rules
• Source-to-target mappings for core system interfaces
• Visual assets including data flow diagrams and integration maps
• Contributions to a sustainable framework for ongoing data documentation and application inventory maintenance

Candidate Requirements

• Experienced in roles such as Application Analyst, Data Analyst, Systems Analyst, or similar positions
• MUST have strong understanding and experience of Mapping / Analysis of enterprise application ecosystems - (ERP, CRM, DWH, OCR, BI tools, etc) and data integration principles
• Hands-on experience with data mapping, interface documentation, and integration analysis
• Familiarity with databases, APIs, and data structures including JSON, XML, and relational tables
• Basic proficiency in SQL for querying and analyzing data
• Skilled in using tools such as Excel, Lucidchart, Visio, Miro, or equivalent platforms
• Strong analytical mindset with a structured, detail-oriented approach to problem-solving
• Effective time management and organizational skills
• Comfortable working in cross-functional teams and adaptable to evolving requirements
• Awareness of data governance, privacy standards, and integration security best practices is a plus

This is a remote position.

As a key player in our program, this role will be accountable for the Commercial design integration, build and deployment of SAP S/4HANA and integrated digital solutions (e.g., EDI, E-Invoicing platforms, e-commerce, PLM, AI/ML) in the area of Commercial Sales & Distribution and will be part of our “Lean Digital Core” team in Data, Digital and IT Organization.

Requirements • Data IT Lead as counterpart to Business data lead in COM. – Manage Data deliverables and Contribute to the Enterprise Data Management (EDM_ organization objectives outside LDC, for Commercial Data assets and processes with a governance of Data Quality rules framework • Manage Retrofit scope activities – both in Minor and Major Releases scope. • Own and drive assigned Cross-Functional Design topics for Commercial area to make it ready for Process design teams to start doing analysis and provide a solution, through addressing all business requirements and opportunities while following our companies architectural standards, quality and information security principles. • Collaborate closely with the Global Process Owners (GPOs) and Enterprise Process Integration leads to own key design decisions and Key scope decisions to achieve standardized and simplified integrated solutions for business scenarios and variants in scope. • Champion the standardization and simplification of design, minimizing the custom solutions only for cases where our company makes a difference in the market serving customers/patients. • Liaise with Design leads across COM and other functions like Finance and Operations to make sure all relevant x-Functional info is shared bi-directional and tasks assigned to Commercial teams are achieved as per KPI.

Data Centre Integration Manager - Projects - HV Bias
Job ID
218566
Posted
08-May-2025
Service line
GWS Segment
Role type
Full-time
Areas of Interest
Data Centers, Engineering/Maintenance, Project Management
Location(s)
London - England - United Kingdom of Great Britain and Northern Ireland
**Job Title: Integration Manager - Projects**
**Hours of work: Monday to Friday 08:00am to 5:00pm**
**Location: London, UK**
**Reporting to: Technical Operations Director**
**COMPANY PROFILE**
CBRE is the global leader in real estate services and leverages the industry's most powerful knowledge base to meet the commercial real estate needs of its clients worldwide. Our vision is to be the preeminent, vertically integrated, globally capable real estate service firm. Globally, we employ over 70,000 employees and operate in 48 countries.
**Purpose of The Job**
+ The Project SME will act as Customer Operations representative on the commissioning phase/s of the Telehouse South project to ensure that all equipment is functionally tested and handed over to operations in its as designed condition.
+ Seconded into the customer team with a close relationship to the CBRE site operations and projects team.
+ In addition, the appointed person will be required to develop an in-depth knowledge of the technical systems and generate operational documentation to allow the Engineering Team to operate and maintain the equipment safely and effectively.
+ The Project SME will report to the Technical Operations Director with dotted line into the Head of Projects.
+ Responsible for all witnessing of all SAT (Site Acceptance Test) IST (Internal Systems Testing).
+ The appointed person will be the site representative for development and management of operations processes and procedures and their standardisation across the Site.
+ The Projects SME will have a strong mechanical and electrical background and will continuously review the Methods of Procedures (MoPs) in conjunction with asset handover for use in maintenance work on business-critical infrastructure with the operational teams. Most importantly, the appointed person will own the implementation, standardisation, and ongoing ownership of the local Critical Environments Program. Review and comment on submitted O&Ms
**Responsibilities**
**Health & Safety**
+ Responsible for standardising the local Health & Safety program to align with the corporate program to ensure full coverage and compliance. Ensuring all areas during project delivery and handover are to contractual requirement and governance.
+ Equipment Maintenance Planning
+ Create or validate a Scope of Service (SoS) for each unique equipment type.
+ The SoS will contain the maintenance strategy, frequencies, durations, and detailed work scope based on engineering reliability methods, the manufacturer's recommendations, site conditions.
+ Interface with Customer Project Team
+ Undertake IST, witness testing and attend factory acceptance testing. Develop library of OEM literature and drawings to populate site grab packs and procedures.
+ Upon project completion the Projects Technical Manager will review, develop, and implement.
+ CAFM system updates.
+ Switching schedules.
+ MOP/SOP/EOP.
+ Risk Register.
+ Scenario Testing & Mock Drills.
+ Attendance at Start-up Meetings.
+ Attendance at Integration Meetings.
+ Review and sign off OEM literature.
+ Snagging/Defect Reporting.
+ Warranty Reporting.
+ Asset Lifecycle Enhancement
+ Create an asset lifecycle program to provide risk managed and cost-effective options to the client, to operate a multi-year investment program that is methodically risk managed and to increase the longevity of the assets life cycle.
+ Co-ordinate the program to ensure seamless implementation alongside the engineering operations on the site
**Quality Assurance**
+ Manage the on-going effort to modify and create processes and procedures in the areas of service delivery, operational readiness, safety, compliance, and administration.
+ These processes and procedures will be reviewed and enhanced on a regular basis either as a result of feedback from the field, and or project or as part of a scheduled periodic review.
**Quality Control**
+ Manage technical review and approval of critical procedures, monitor program compliance, conduct audits and evaluate program effectiveness.
**Quality Improvement**
+ Translate process observations and measurements into process improvements locally and coordinate with CBRE to ensure processes remain standardised across CBRE.
**Change Management**
+ Responsible to run a standardised CBRE formal change control process in conjunction with the client system for the local site and where needed, the wider portfolio. Ensure proper preparation, work procedures and documentation, notifications, follow-through activities and exception handling are in place for maintenance activities.
**Process Analysis and Design**
+ Responsible for representing the site for the analysis and design of all critical environments programs.
+ Drive the continuous improvement of Energy performance for the site and where needed across the portfolio.
**Critical Environment Risk Management**
+ Ensure the CERMTM methodology is embedded across the Site. Form part of CMT (Crisis Management Team),
+ Attend to and take all necessary action, statutory or otherwise, in the event of incidents and take such action as may be appropriate.
+ Be prepared to undertake investigations of incidents or accidents to ensure impartial and Technical Advice and direction to ensure as far as possible the incident or accident does not occur again.
+ To ensure that systems and processes are in place to for compliance to agreed CBRE DCS standards.
**Training**
+ Responsible for training or coordination of training for all CBRE critical environments programs, training on new systems and processes.
+ Training will span across CBRE employees as well as customer selected team.
**Requirements**
+ Providing support to the site DCMs on large or complicated projects and planned maintenance works as required.
+ Reviewing proposals and designs for new projects.
+ Witnessing commissioning of systems for new installations.
+ Review of selectivity studies and Arc Flash studies.
+ Assessing sites for compliance with HV/LV rules and procedures.
+ Accountable with training program and apprentice candidate assessments.
+ Producing incident reports for site system failures.
+ Producing SOP's and EOP's.
+ Continuous improvement with SOP and EOP's.
+ Attending sites in need of assistance during major incidents.
+ Producing Single Point of Failure Reports on sites as required.
+ Producing Condition Surveys and Asset Surveys.
+ Assisting Customer Project Team with technical help.
+ Specification and recording of the Technician Training certification program and supervision of drill and scenario training aids.
+ Generation of periodic technical reports detailing the activities and issues relevant to the Data Centre.
+ Communicate any lessons learnt from project implementations.
+ Ensure all service partners and specialist sub contactors adhere to strict service guidelines and maintain the Service Level Agreement metrics.
+ Develop supply partner Training Program in conjunction with the go live date of the project
+ Development of detailed asset lists for upload to CMMS (Centralized Maintenance Management System)
+ Development of detailed emergency, maintenance, and drill procedures (in conjunction with the Engineering Team)
+ Manage the interface works to limit the disruptive effect on the operational team, allowing them to focus on day-to-day activities.
**CBRE projects**
+ Identify and develop CBRE project opportunities.
+ Collaborate with CBRE projects team to deliver, commissioning and handover projects
+ Manage Project P&L
**Accountabilities**
+ Accountable to the Technical Operations Director.
+ Responsibility for leading a Data Centres Services team within agreed contractual terms.
+ Responsibility for the performance of Data Centre assets and full contract reporting within contractual terms.
+ Directing and overseeing mandatory emergency preparedness (EOP / Back out plans) focus on detail, clarity, and continual improvements.
+ Ensure all related activities meet the necessary statutory requirements. Actively mitigate the risk of human error in all activities
**EQUAL OPPORTUNITIES**
We are an equal opportunities employer and do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.
CBRE, Inc. is an Equal Opportunity and Affirmative Action Employer (Women/Minorities/Persons with Disabilities/US Veterans)

Data/AI/ML Integration Developer
br>Location: New York, NY

Role Summary:

Create secure, scalable integration pipelines and APIs connecting clinical systems, Snowflake data stores, and AI model endpoints.

  br>
Responsibilities:


Develop APIs and microservices in Python (FastAPI) and Node.js
uild ETL/ELT pipelines using Airflow/dbt from Epic EHR into Snowflake or similar
Integrate with real-time streaming tools (Kafka, GCP Pub/Sub) and FHIR APIs
Ensure encryption in transit, data lineage, and access control compliance (OAuth2, RBAC)
Build hybrid search and RAG workflows across clinical corpora
Manage vector database operations (e.g., Pinecone/Weaviate) for GenAI search augmentation
Integrate with orchestration layers for multi-agent systems using LangChain, CrewAI


  br>
Required Qualifications:


+ years in backend/data integration roles
Hands-on with FHIR/HL7 APIs, dbt, Snowflake, and containerized services


  br>
Preferred Qualifications:


ealthcare interoperability experience
Integration of LLM endpoints (OpenAI, Vertex AI) and model-serving APIs

Senior Data Management Professional - Data Engineering
Location
London
Business Area
Data
Ref #
10044247
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing customer support to our clients.
**Our Team:**
The Bloomberg Data AI group brings innovative AI technologies into Bloomberg's Data organization while supplying deep financial domain expertise to the development of AI-powered products. We partner closely with team members to align AI innovation with Bloomberg's strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products. Our work amplifies the impact of the Data organization by delivering intelligent data solutions and domain-informed systems that improve the capabilities and competitiveness of Bloomberg's offerings.
**What's the Role?**
A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.
The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.
**We'll trust you to:**
+ Build strategies to analyze processes and data engineering questions to ensure our datasets are fit-for-purpose.
+ Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project coordinator.
+ Collaborate on database schema design and configure ETL pipelines to onboard new data sets.
+ Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
+ Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
+ Review and further improve annotation guidelines, and promote the development of standard processes in data annotation.
+ Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
+ Lead on problem-solving to resolve sophisticated annotation challenges and ensure data quality.
+ Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
+ Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.
**You'll need to have:**
*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
+ A bachelor's degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
+ A minimum of four years of demonstrable experience in data management concepts such as data engineering, data quality and data modeling.
+ Demonstrable experience in Data Profiling/Analysis/Engineering using tools such as SQL and Python or R.
+ Experience using data visualization tools such as Tableau, Qlik Sense or Splunk.
+ Past projects that involved owning financial datasets, or other demonstrable work with financial-market concepts.
+ Proficiency in discussing technical concepts and experience evaluating trade-offs in design with Engineering and Product.
+ Extensive experience in communicating results in a clear, concise manner using data visualization tools.
+ Consistent track record in taking a logical approach and applying critical thinking skills in order to address problems.
**We'd Love to See:**
+ DAMA CDMP or DCAM certifications.
+ Keen interest and familiarity with generative AI frameworks.
+ Understanding of the importance of high quality annotations.
+ Experience in using Bloomberg Data, Bloomberg Terminal, and/or enterprise financial data products.
+ Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
+ Past project experience using the Agile/Scrum project management methodology.
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know next steps!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Data Engineering Manager

Location:  Leeds (Mostly Remote – 1 Day On-Site)
Salary:  Up to £75,000 per annum

Are you an experienced Senior Data Engineer ready to step into a leadership role? We’re looking for a Lead Data Engineer to join our team based in Leeds, working mostly remotely with just one day on-site per week.

You’ll lead the design and delivery of scalable, cloud-based data solutions using Databricks, Python, and SQL, while mentoring a team and driving engineering best practices.

About You

You might currently be a Senior Data Engineer ready to grow your leadership skills. You’re passionate about building robust, efficient data pipelines and shaping cloud data architecture in an agile environment.

Key Responsibilities

• Lead development of data pipelines and solutions using Databricks, Python, and SQL

• Design and maintain data models supporting analytics and business intelligence

• Build and optimise ELT/ETL processes on AWS or Azure

• Collaborate closely with analysts, architects, and stakeholders to deliver high-quality data products

• Champion best practices in testing, CI/CD, version control, and infrastructure as code

• Mentor and support your team, taking ownership of technical delivery and decisions

• Drive continuous improvements in platform performance, cost, and reliability

Key Requirements

• Hands-on experience with Databricks or similar data engineering platforms

• Strong Python and SQL skills in data engineering contexts

• Expertise in data modelling and building analytics-ready datasets

• Experience with AWS or Azure cloud data services

• Proven leadership or mentorship experience

• Excellent communication and stakeholder management

• Agile delivery and DevOps tooling knowledge

Desirable

• Experience with infrastructure-as-code (Terraform, CloudFormation)

• Familiarity with CI/CD pipelines and orchestration tools

• Knowledge of data governance and quality controls

• Experience in regulated or large-scale environments

Role: Data Engineering Manager

Salary: £65,000- £0,000 per annum

Location: Leeds (One day on site).

VIQU have partnered with a leading supply chain organisation who are looking to expand their data teams. The Data Engineering Manager will manage a team of eight to help with an on-going digital transformation. The ideal candidate will come from a technical background but has recently worked in a managerial role focused on mentoring, coaching, reviewing code, and standard setting. The role will focus on the development of the clients Databricks platform (AWS is preferred but open to Azure.GCP experience also), utilising Python and SQL, contribute to CI/CD pipelines, strategy development, cost optimisation and data governance frameworks. 

Job duties of the Data Engineering Manager: 

• Manage a team of eight engineers, helping to mentor and coach the team.
• Manage  the adoption of automated CI/CD pipelines.
• Implement a new delivery roadmap.
• Contribute to the development of a new Databricks system in AWS (AWS experience is preferred but they are open to managers with Azure experience).
• Cost optimisation.
• Establish data governance frameworks for secure handling of delivery information.

Requirements of the Data Engineering Manager:

• 6+ years experience in a hands on data engineer role, with over a years recent experience in a managerial role, coaching similar sized teams.
• Deep knowledge of the Databricks platform.
• Hands on Python development experience.
• SQL optimisation.
• Experience with large scale data pipeline optimisation.
• Experience with Streaming and Batch Spark workloads.
• Strong people management skills.

Role: Data Engineering Manager

Salary: £65 00- 0,000 per annum

Location: Leeds (One day on site).

To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Jack McManus on (url removed).

If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1, 0 once your referral has successfully started work with our client (terms apply).

To be the first to hear about other exciting opportunities, technology, and recruitment news, please also follow us at ‘VIQU IT Recruitment’ on LinkedIn, and Twitter: @VIQU_UK