Average Data Engineer salary in Leeds

Cloud Data EngineerLocation: Leeds, UKSalary: Competitive Salary + Package (dependent on experience)Career Level: (Accenture will be recruiting at the following levels : Specialist & Associate Manager) Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. “Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO As a team: We have exciting opportunities for a Cloud Data Engineer to join our Data & AI practice, part of larger Cloud First Group. We deliver scalable, business critical and end-to-end solutions for our client - from data strategy/governance to Core Engineering, enabling them to transform and work in Cloud Technologies. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways If you’re looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job.  You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways In our team you will learn: Help support the data profiling, ingestion, collation and storage of data for critical client projects. How to develop and enhance your knowledge of agile ways of working and working in open source stack (PySpark/PySql). Quality engineering professionals utilise Accenture delivery assets to plan and implement quality initiatives to ensure solution quality throughout delivery. As a Data Engineer, you will: Digest data requirements, gather and analyse large scale structured data and validates by profiling in a data environment Design and develop ETL patterns/mechanisms to ingest, analyse, validate, normalize and clean data Implement data quality procedures on data sources and preparation to visualize data and synthesize insights for business value Support data management standards and policy definition including synthesizing and anonymizing data Develop and maintain data engineering best practices and contribute to data analytics insights and visualization concepts, methods and techniques

HR Data Analyst    Leeds – hybrid     Permanent   Summary     We are seeking a strategic and detail-focused HR Data Analyst to enhance how we capture, manage, and use people data. This role is pivotal in ensuring that HR data is accurate, compliant, and insightful which will be supporting both legislative requirements and business decision-making. You will take the lead in designing a fit-for-purpose suite of reports and dashboards, improving data accessibility for employees and managers, and uncovering and communicating trends that shape our people strategy.    Some of the key deliverables for the role will include:     Data capture and integrity    Ensuring data meets business and legal needs   Collaborate with HR and system administrators to improve data accuracy and consistency in Dayforce   Define and uphold data quality standard including validation and regular audits   Lead initiatives to keep people data clean, Current and reliable for reporting and analysis  Align HR data with broader business data sets by working with IT, Finance, and other teams.    Act as HR’s data conscience, ensuring GDPR compliance and proper handling of personal and management information.    Reporting    Design tailored HR reports and dashboards for various stakeholders   Enable self-service access to HR data and insights   Continuously improve reporting processes for accuracy, timeliness and usability   Automate recurring reports to boost efficiency and reduce manual effort.   Ensure compliance with data privacy, security, and confidentiality standards  Use data visualisation tools (e.g. Power BI) for clear, user-friendly reporting  Support report creation and automation for monthly and board level reporting  Analysis and insights    Analyse workforce trends (e.g. headcount, attrition, diversity, engagement, performance   Deliver clear, actionable insights to guide HR strategy and operations   Provide proactive analytics to support business initiatives  Collaborate cross functionality to interpret data and support decision making  Present insights to senior leaders using compelling visuals and storytelling  Explore predictive analytics to enhance HR and business outcomes   Oversee the full reporting lifecycle, ensuring access to a robust and evolving analytics suite   Capability Building and Continuous Improvement    Champion training, capability building, and data governance across the HR and operational teams.   Foster continuous improvement culture by enhancing user efficiency and uphold data integrity.   Lead user requirement definition and prioritisation, acting as a trusted advisor to senior HR and Payroll stakeholders in designing scalable solutions.    What we’re looking for:    Ideally been a HR focused Data Analyst or similar role    Previous experience with Dayforce (or any other HR/People System  Proven experience with reporting tools such as Power BI, Tableau, SQL   Solid experience in using Excel   Understanding of data governance, compliance and regulatory reporting (pay, GDPR etc)   Benefits include:         25 Days Holiday + Bank Holidays with an option to Buy/Sell additional days    Pension with a?leading provider and?up to?8% employer contribution Personal Wellbeing and Volunteer Days Private Medical Insurance Life Assurance Free 24/7 365 Employee Assistance Program to support mental health and well-being (including counselling sessions and legal advice)  Flexible benefits to choose from inc: Dental Insurance, Gym Membership, Give As You Earn, Travel Insurance, Tax Free Bikes       Next Steps:  As a business, we’re on a journey to build on our culture where everyone is included, treated fairly and with respect. This starts with recruitment and how we bring people into the organisation.   We’ll do our best to outline the recruitment process to you ahead of time with plenty of notice. If you require any accommodations to participate in the application or interview process, please let us know and we will work with you to ensure your needs are met.  About Us:  We are one of the leading independent engineering and services businesses in the UK. Founded in 1921, with a turnover of £500m and 3000 employees, we are proud of our history of developing great people through our investment in training.  Working across a variety of sectors within the building and infrastructure industry, our innovative, responsible and forward-thinking approach allows us to work on fantastic ground-breaking projects, providing solutions using the latest tools and technologies.  Progression is something we value, and we will make sure that when you join us you have a clearly defined development path, supported by regular reviews, training and ongoing support to enable you to be the best you can be. #LI-LP1#LI-Hybrid

Senior Data Analyst Hybrid – 2 days per week in Leeds Salary up to £60,000 + bonus & benefits Are you a technically strong, commercially minded Data Analyst who thrives in modern cloud environments? Elevation Tech & Transformation are looking for a Senior Data Analyst to play a key role across the full data lifecycle—designing, building, optimising and delivering high-quality data solutions that drive real business impact. You’ll be part of a collaborative, forward-thinking team working on large-scale data platforms, migrations and analytics projects using the latest AWS and data engineering technologies. The Role As a Senior Data Analyst, you will: Work across the full data lifecycle—from ingestion and transformation through to modelling, analysis and insight delivery.Design, build and optimise cloud-based data platforms and pipelines in AWS.Lead and contribute to data migration projects and platform modernisation initiatives.Develop scalable, high-performance data warehouse and lakehouse solutions.Build, deploy and maintain CI/CD pipelines and Infrastructure-as-Code solutions.Tune performance across a variety of database environments.Manage change and release processes, ensuring high-quality, reliable delivery.Translate complex data into clear, actionable insights for technical and non-technical stakeholders. Skills & Experience: We’re looking for strong hands-on experience across modern data platforms, including: Proven experience with AWS data technologies: S3, Redshift, Glue, Lambda, Lake Formation, CloudFormationExperience building and deploying cloud data platformsInfrastructure-as-Code and CI/CD practices (GitHub, CodeBuild, pipelines)Strong coding experience in Python (Pandas), Apache Spark, and/or Apache IcebergExpertise in SQL and advanced data manipulation and analysisExperience with data warehouse design and data modelling (Kimball, Lakehouse/Medallion, Data Vault preferred)Building data lakes and end-to-end ELT/ETL pipelinesPerformance tuning across varied database environmentsDesirable: dbt, Docker, Microsoft BI stack, Aurora DB, Step Functions, Batch, IAM, SQS, SNS Excellent data development, modelling, and analytical skillsStrong project and people management capabilityConfident working to deadlines and managing multiple priorities in fast-changing environmentsCommercially aware, with the ability to align data solutions to business outcomesClear, professional communicator—able to present complex data to a wide-ranging audiencePractical problem solver with strong attention to detailCollaborative team player with a continuous learning mindset To be considered, you must already have the right to work in the UK, as visa sponsorship is not available for this role. To find out more contact us today!