151 to 175 of 2,410 SQL Jobs in the UK

Expert: Translate complex analytical findings into clear, actionable recommendations for the Product Team and broader leadership/stakeholders. What You’ll Bring Expert‐level SQL skills with experience querying, manipulating and transforming large, complex, and relational datasets into functional pipelines. Experience designing and building automated data pipelines and transformations. Strong ...

driven workflows. Agentic frameworks in Python is a plus but not required Data and analytical skills Comfortable working with data, performing analysis, and writing SQL queries. Experience building simple data pipelines or transformation workflows is a plus. Exposure to ML Ops or production systems (nice to have) Familiarity with tools ...

Agency data and involvement in strategic risk projects would be highly advantageous. Strong technical capabilities are essential for this role, including experience using SAS, SQL, Python or similar coding languages, alongside advanced Microsoft Excel skills. Exposure to Open Banking, AWS Quicksight or assistive AI technologies would also be beneficial. ...

object-oriented programming principles. Experience operating Linux-based web servers (LAMP/Nginx). Experience with SASS/LESS/SCSS. Exposure to SQL and NoSQL database technologies. Experience with mobile application development. Awareness of UX/UI principles and responsive design. ...

customer‐facing skills Analytical mindset with strong attention to detail Desirable Skills & Experience Experience with data cleaning, analysis, or visualisation (Excel, Power BI, SQL, Python) Understanding of recruitment processes or workforce planning Experience managing multiple deadlines or high‐priority projects Knowledge of data validity, reliability, and basic research methods Experience ...

ethics and assurance considerations when handling sensitive operational and customer data. Strong stakeholder engagement and communication skills. Desirable Experience querying and shaping data using SQL or similar tools to support robust analytical models. Knowledge of housing or other regulated-sector performance areas. Experience with forecasting, benchmarking or scenario-planning techniques. ...

manage multiple workstreams and competing priorities with minimal supervision. Desirable skills/knowledge/experience: Experience with Python as a primary language, alongside SQL and Bash. Experience working with cloud platforms such as AWS, Azure, or GCP. Experience with data quality frameworks and data observability tools. Relevant professional certifications, including ...

testing, using toolsets like JMeter, BlazeMeter, and K6, is highly desirable. Accessibility testing experience desirable. Hands-on experience in Playwright, Selenium Grid & WebDriver C#, SQL, Ruby, Specflow, and Cucumber. Experience in using AI technologies such as Co-Pilot. Javascript experience. Good exposure to SOAP, REST based APIs. Good exposure ...

AI. Experience working in a cross‐functional global delivery model. Experience working on data projects. Experience using analytical tools including Tableau, Power BI, Alteryx, SQL, Python. If you feel that you would be a strong addition to our team, but you do not fully meet all the requirements above ...

quality, reliability, and consistency at scale Partner with quants, researchers, and traders on critical data products 🧠 What we’re looking for Strong Python + SQL (essential) 5+ years in data engineering/platform engineering AWS experience in production data environments Hands-on with Spark/Kafka/Snowflake/Databricks ...

technology teams on strategic change programmes What We're Looking For Strong experience in data-focused business analysis within insurance or financial services Advanced SQL and experience working with complex datasets Strong stakeholder management and communication skills Experience with data reconciliation, reporting, and enterprise data flows Analytical mindset with strong ...

Automation Architect, Solution Architect, Analytics Architect, Delivery Manager or Data Architect Strong background in automation, analytics, dashboarding and reporting Experience with Power BI, Tableau, SQL, ETL, Python or data warehousing Strong stakeholder management and client-facing delivery experience Experience delivering enterprise transformation or consulting projects Knowledge of data integration ...

client leadership Translating technical requirements into business outcomes Driving programme delivery across modern data environments Environment Azure, AWS, GCP Databricks, Snowflake, Power BI Python, SQL Jira, Confluence, Agile/SaFe Modern data architecture and governance environments Requirements Experience delivering large-scale data or AI programmes Strong stakeholder and programme leadership ...

client leadership Translating technical requirements into business outcomes Driving programme delivery across modern data environments Environment Azure, AWS, GCP Databricks, Snowflake, Power BI Python, SQL Jira, Confluence, Agile/SaFe Modern data architecture and governance environments Requirements Experience delivering large-scale data or AI programmes Strong stakeholder and programme leadership ...

cross-cloud connectivity, API Gateways GCP (BigQuery, GCS, Dataflow) Deep expertise in: Databricks (Lakehouse architecture, Delta Lake, Unity Catalog, Delta Sharing, Pyspark, Spark SQL etc.) Snowflake (data warehousing & data sharing, Iceberg, ) Strong understanding of: Data architecture patterns, industry benchmarking, Data integration patterns (ETL/ELT, streaming, CDC, APIs) Data governance ...

data maturity initiatives Your Skills & Experience Strong commercial experience in a data or analytics role, ideally within a consultancy or client facing environment Advanced SQL skills and confidence working with complex, real world datasets Experience using Python for analysis and data transformation Experience with Power BI or similar dashboarding tools ...

Data implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working ...

reusable analytical approaches. Ability to lead, mentor and grow data analysis capability across a multidisciplinary organisation. Desirable skills and experience Experience with BI platforms, SQL, Python/R, cloud data platforms and modern analytics engineering practices. Experience contributing to data strategy, data governance frameworks or enterprise reporting standards. Experience ...

anomalies, and enforce standards across complex data pipelines and platforms. Youll have experience in Data Engineering, Data Platform, or SRE-style roles, with strong SQL and Python skills and experience working in modern cloud-based data environments. Hands-on experience with data observability tools such as Grafana, Monte Carlo ...

Candidate The right Data & ML Engineer should have: Experience in data engineering, machine learning or applied AI roles Strong skills in Python and SQL, with exposure to big data or ML frameworks Experience working with cloud platforms such as Azure, AWS or GCP Understanding of CI/CD, MLOps ...

have: Strong commercial experience in data engineering with previous experience in software development/DevOps. Previous experience or understanding of data modelling Strong Python, SQL and Terraform skills AWS services (GCP considered) Nice to have: CI/CD Snowflake Dbt Iceberg Kimball/Datavault Git Dagster BENEFITS The chance ...

features. • Organise and maintain the existing platform, ensuring stability and clarity across data sources. Your Skills and Experience • Strong commercial experience with SQL and Python. • Hands-on experience working with Databricks, or a strong desire to deepen expertise in it. • Expert understanding of data modelling principles and semantic layer concepts. ...

delivery records, customer accounts, and operational data, ensuring data accuracy and alignment across live systems critical to finance and billing processes. Write and refine SQL queries, stored procedures, and SSIS packages to support robust and scalable data workflows, with a focus on refactoring legacy logic for reliability and performance improvements. ...

Engineer A successful Lead Data Engineer should have: Strong experience designing and building scalable data platforms in Azure. Deep expertise in Azure Data Factory, SQL, and Python for ETL/ELT pipelines Proven ability to lead, mentor, and develop data engineering teams Hands-on experience with data warehousing, modelling ...

data scientists, project managers, and subject matter experts on client projects Your Skills & Experience Strong commercial experience in a data or analytics role Excellent SQL skills for data extraction, transformation, and analysis Experience using Python for analysis is highly desirable Confidence working directly with clients and presenting insight to stakeholders ...