quality, utilizing TDD methodologies to ensure code reliability and maintainability. Security Practices: Knowledgeable in cybersecurity practices, including OAuth, OpenID Connect, and secure coding practices. Advanced Database Knowledge: Proficient in SQL and data modelling. SOLID Principles: Proficient in applying SOLID principles for object-oriented programming, ensuring clean, maintainable, and scalable code. Additional Skills (Good to Have): Programming Language: JAVA Containerization and More ❯
with performance tuning and troubleshooting in complex environments. Data Systems Knowledge: Exposure to working in data-centric environments, supporting ETL/ELT pipelines or data processing services. Familiarity with SQL and NoSQL databases. Understanding of data privacy and security concepts. Tooling & Infrastructure: Experience with CI/CD pipelines, containerization (Docker/Kubernetes), and version control systems (e.g., Git). Ways More ❯
Opportunity to transition into a leadership role, supporting the development of junior team members. Key Skills & Experience: 5+ years of experience in Azure (ADF, Data Lake, Synapse). Strong SQL skills for data integration and reporting. Experience with Power BI for visualization and analytics. Familiarity with Python (preferred but not currently in use, planned for future projects). Knowledge of More ❯
in-house data engineering standards. Learning from and supporting the new Data Engineering Lead, Linda. Skills & Experience Experience in data engineering, ETL/ELT development, or data warehousing. Strong SQL skills and experience with Snowflake, Netezza, or similar DW platforms. Understanding of data modelling and pipeline design. Ability to articulate technical concepts clearly. A collaborative approach—this team values people More ❯
London, South East, England, United Kingdom Hybrid/Remote Options
Tenth Revolution Group
software engineering, or a similar role Expertise in developing best practices for data engineering and analytics with a strong background in data modelling including indexing strategies. Strong ability in SQL for data extraction and manipulation, and proficiency in data modelling and data product building in Data Bricks. Developed Azure cloud experience for data storage and processing, considerations made for alternate More ❯
Oversee code reviews, data validation, parallel testing, and downstream consumption cutover. ✔️ Essential Experience & Skills 3–5 years’ experience in data engineering, including data warehousing, ETL, and data modelling Strong SQL development background 3+ years of cloud engineering experience with GCP, Azure, or AWS (any major cloud platform accepted) Experience designing and building batch and real-time data pipelines Strong understanding More ❯
London, South East, England, United Kingdom Hybrid/Remote Options
Involved Solutions
such as Delta Lake and streaming Strong programming skills in Python with experience in software engineering principles, version control, unit testing and CI/CD pipelines Advanced knowledge of SQL and data modelling (dimensional modelling, fact/dimension structures, slowly changing dimensions) Managing and querying data lakes or Lakehouse's Excellent communication skills with the ability to explain complex technical More ❯
Warrington, Cheshire, England, United Kingdom Hybrid/Remote Options
Brookson
understanding of the data, thus promoting a self-serve analytical culture. What are the qualities that can help you thrive as a Data Engineer? Essential Experience and Qualifications: Strong SQL skills - Tables, Stored Procedures, performance tuning etc. Experience with Azure ETL tools - Azure data Factory/Synapse Strong experience in Data movement methodologies and standards, ELT & ETL. A self-motivated More ❯
a similar senior role Experience in designing and implementing Azure Data solutions using services such as: Microsoft Fabric Azure Synapse Analytics Azure Databricks Azure Data Lake Storage Gen2 Azure SQL Database Azure Data Factory Azure DevOps Azure Stream Analytics Microsoft Power BI Familiar with Azure Purview An understanding of Master Data Management and Data Governance frameworks Familiar with development approaches More ❯
telling to clients and hence a trusted adviser to key stakeholders Numerate & analytical with knowledge of data management Proficient in BI tools like PowerBI, Qlik, Tableau Proficient in Microsoft SQL Proficient in Python/R Strong knowledge of statistical methodologies and data analysis techniques (eg clustering) Passionate about data analytics. Technically self sufficient with a desire and ability to research More ❯
telling to clients and hence a trusted adviser to key stakeholders Numerate & analytical with knowledge of data management Proficient in BI tools like PowerBI, Qlik, Tableau Proficient in Microsoft SQL Proficient in Python/R Strong knowledge of statistical methodologies and data analysis techniques (eg clustering) Passionate about data analytics. Technically self sufficient with a desire and ability to research More ❯
population health management and healthcare commissioning. Experience in predictive modelling, demand and capacity planning, or statistical analysis. Proficiency in BI tools (e.g., Power BI, Tableau, Qlik). Experience with SQL, R, or Python for data analysis. Ability to design automated reporting solutions. Qualifications Essential Degree in a numerate, analytical, or health-related subject (e.g., Mathematics, Statistics, Economics, Informatics, Public Health More ❯
A skilled SQL Migrations Developer is required to join a small but growing team. Initially, the successful candidate will be working on a large project to migrate a global client base numbering in the hundreds from multiple legacy applications into a single global Azure SaaS product. The developer will be expected to use their technical experience in designing a migration … innovation and continuous improvement to the team. Educational Requirements: Minimum 2.1 degrees in IT or an equivalent technical subject. Experience Required: Required - Minimum 5 years experience working in a SQL Developer role or similar title Required - Minimum 5 years working on ETL Data Migrations Required - Minimum 3 years working in Azure SQL environments in a SQL Development capacity Highly Desirable … Experience of Insolvency or Financial Services sectors. Technical Competencies Required: Advanced T-SQL MS SQL Server ETL and Migration Development SSIS Azure Data Factory Databricks Microsoft Fabric Advanced Microsoft Excel Highly Desirable: Azure Devops GIT Source control Jira Confluence mySQL Desirable: SSRS & Power BI SSAS SQL Utilities such as Redgate Other development experience includes C#, VB .NET, PHP, web applications More ❯
learn, Large Language Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud Platform, SQL, NoSQL, DevOps, Financial services, Regulatory environments Contract Type: Hybrid/Bedford Daily Rate: £600-£650 (via Umbrella) 9 months initial contract We are seeking two AI Solutions Engineers to lead More ❯
capability, including DAX, Power Query, data modelling, and advanced visualisation Experience implementing Kimball modelling Strong data storytelling and design skills Proven experience in data manipulation, mining, and validation Confident SQL skills Experience with Azure or AWS Understanding of data warehousing, ideally Snowflake or Data Factory PL-300 certification or close to completion Analytical Skills Professional experience in an analytics role More ❯
Birmingham, West Midlands, West Midlands (County), United Kingdom
Clearwater People Solutions
Canvas and Model-driven), Power Automate, and Dataverse. Experience with Microsoft Fabric. Strong understanding of business intelligence concepts, KPI development, statistical analysis, and data visualisation best practices. Proficiency in SQL, Python or R for advanced analytics, and experience with version control systems (Git) and CI/CD pipelines are highly desirable. Strong stakeholder management and communication skills, with demonstrated ability More ❯
webhooks, and automate data workflows Support BI tools and analytics teams with reliable, well-modelled data Maintain documentation, contribute to architectural decisions, and drive best practices Essential Requirements: Strong SQL skills and experience with modern cloud data warehouses (Snowflake preferred) ELT pipeline development and modern data stack understanding Solid software engineering practices (Git, testing, CI/CD) Own pipeline health More ❯
documentation and analytical skills with the ability to translate business needs into technical stories. Excellent communication and interpersonal skills to bridge business and technical teams. Desirable Experience Understanding of SQL, data models, or API integrations. Experience supporting testing or UAT. Awareness of Power BI and basic reporting structures. Familiarity with Azure DevOps pipelines or CI/CD principles. Microsoft certifications More ❯
work autonomously and tackle complex challenges. Technical Skills: Advanced Power BI expertise: DAX, Power Query, modelling, and storytelling through visualisations. Experience with Kimball modelling, data manipulation, mining, and validation. SQL proficiency and familiarity with cloud platforms (Azure or AWS). Exposure to Data Warehousing concepts, ideally with Snowflake or DataFactory. PL-300 certification or near completion. What You’ll Bring More ❯
technical specifications, reverse engineer existing systems to ensure alignment with best practices, and maintain comprehensive documentation. The ideal candidate possesses proven experience as a BI Engineer, strong proficiency in SQL, data warehousing concepts, and problem-solving skills, with any specific experience within the retail and general supply chain logistics sector being highly advantageous. Bonus skills include experience with Python, Azure More ❯
core insurance operations (e.g., policy administration, claims, underwriting, billing) and related data structures. Strong skills in data analysis, data profiling, and data mapping (source-to-target). Proficiency in SQL for data extraction, analysis, and validation. Demonstrated ability to define and document detailed data transformation rules and validation criteria. Excellent analytical thinking, problem-solving, and attention to detail. Strong written More ❯
with at least some of the following: API Management, API Gateway, Cognitive Services, Cosmos DB, Azure Service Bus and Azure Kubernetes Service. Containerisation Technology (Docker, Kubernetes, Nginx). Strong SQL Server skillset, including T-SQL. Experience of building solutions incorporating NoSQL Databases such as Redis, MongoDB, AWS DynamoDB, or Azure Cosmos DB. Experience of TDD and Unit Testing Frameworks, such More ❯
the ability to communicate complex concepts clearly. Automation | AI | Data Analytics | Machine Learning | Power BI | Power Automate | Copilot Studio | Microsoft Power Platform | Data Architecture | Data Engineering | Azure | Snowflake | Databricks | SQL | Process Automation | Predictive Analytics | Cloud Solutions | Digital Transformation | Industrial Automation | PLC | HMI | SCADA | IoT | Data Modelling | Data Visualisation | Business Intelligence | Agile Delivery | Continuous Improvement | Technical Leadership | Automation Strategy | Process Optimisation More ❯
and contribute to the continuous improvement of reporting systems and processes. What we’re looking for: We’re seeking someone with significant experience in data reporting and analytics, excellent SQL and Power BI skills, and a strong understanding of relational databases, data modelling, and ETL processes. You’ll need a Level 3 qualification in a relevant subject (or equivalent experience More ❯
