151 to 175 of 2,212 SQL Jobs in the UK

translate complex security risks into clear business language and actionable recommendations. Desirable Skills Experience with secure data platforms (Azure Data Factory, Data Lake, SQL, or similar). Knowledge of API, container security, Kubernetes, and infrastructure-as-code security. Familiarity with PCI, GDPR, data privacy requirements, and compliance frameworks. Exposure ...

outcomes Technical Experience You ll bring strong commercial experience across several of the following: Modern data engineering patterns (batch and event-driven pipelines) Strong SQL and at least one data-focused programming language (e.g. Python) Data integration, transformation and orchestration tooling Analytical data platforms (data warehouses, lakehouse architectures) Applying DevOps ...

Spark , and Splunk. Proficiency in object-oriented and functional scripting, particularly in Python . Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL). Experience integrating large, disparate datasets using modern tools and frameworks. Strong background in building and optimizing ETL/ELT data pipelines . ...

Experience • Strong commercial experience with the Adobe ecosystem, including Adobe Analytics and Customer Journey Analytics. • Experience working with cloud platforms, ideally Microsoft Azure. • Solid SQL capability, including querying and managing datasets. • Hands‐on experience with tagging and tracking implementation is a plus • Data visualisation skills in Power BI, Looker ...

Data Analysis or Science Strong understanding of front-office trading , risk , or market data (not back-office finance or regulatory reporting). Proficiency in SQL and at least one programming language (e.g., Python, Scala). Experience with BI tools such as Power BI, Tableau, or Qlik. Familiarity with cloud platforms ...

pace with minimal rework.-quality outputs at pace with minimal rework. Skills & Experience Required Technical & Analytical Skills Strong data mining, wrangling, and manipulation experience (SQL, Python, or equivalent). High competence in validation checks, reconciliations, and data quality assurance. Advanced data visualization capability (Power BI, Tableau, or similar). Experience ...

Hadoop, Spark, and Splunk. Proficiency in object-oriented and functional scripting, particularly in Python. Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL). Experience integrating large, disparate datasets using modern tools and frameworks. Strong background in building and optimizing ETL/ELT data pipelines. Familiarity ...

ownership of demand delivery Provide technical guidance for team members Providing 2nd or 3rd level technical support About You Experience using SQL, SQL Server DB, Python & PySpark Experience using Azure Data Factory Experience using Data Bricks and Cloudsmith Data Warehousing Experience Project Management Experience The ability to interact with ...

evaluating new tools, frameworks and approaches. The ideal Data Engineer will have: Proven experience designing and deploying production-grade pipelines (Python, Scala, Java, Spark, SQL). Strong experience working with AWS cloud data technologies (e.g., Glue, EMR, Redshift, Kinesis, Lambda, DynamoDB). Commercial experience ingesting, processing and curating structured ...

technical guidance and mentor a junior engineer. Your Skills and Experience * Strong commercial experience working with AWS in production environments. * Proficiency in Python and SQL for data processing and orchestration. * Experience with Airflow for workflow management. * Knowledge of cloud data warehousing, ideally Redshift. * Experience with infrastructure as code ...

Strong foundation in statistical modeling , probability, hypothesis testing, regression analysis, and multivariate calculus/linear algebra for understanding model mechanics. Databases & Querying: Proficiency in SQL for extracting, manipulating, and preparing data from relational databases. Experience with NoSQL databases is a plus. Big Data/Cloud: Experience with big data tools ...

models, communicate clearly, and ensure outputs are accurate, consistent, and actionable. A degree in Computer Science, Engineering, Maths, Economics, Data Science is desirable. Advanced SQL skills and experience with analytical/dimensional modelling. Practical experience with modern ELT tools (Dataform/dbt) and Git workflows. Knowledge of cloud data warehouses ...

understanding of creating reports from Dataverse, with particular emphasis on D365 data. Experience administering reports and workspaces in Power BI Service. Experience using SQL, Power Query and Data Analysis Expression (DAX). Proven track record in delivering application-based reporting solutions (dashboards). Experience in using Azure DevOps, JIRA ...

design. Hands-on experience applying a range of supervised and unsupervised machine learning techniques (e.g., Random Forest, regression models, clustering methods). Proficiency with SQL and data warehousing technologies. Ability to translate complex analytical findings into clear, practical business recommendations. Strong problem-solving skills and natural curiosity for exploring ...

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 ...

building top-tier solutions. You'll bring: 3–5+ years in BI, reporting or analytics Advanced Power BI, Databricks, AWS (+ DAX, Power Query, SQL, Python all desirable) Experience delivering analytics in a finance-heavy environment Ability to simplify complexity and explain data clearly to senior stakeholders Strong stakeholder influence ...

successful in this role, you will bring: Extensive experience in data science, analytics or analytics engineering in a complex environment Advanced SQL skills, including writing, analysing and optimising large analytical queries Strong experience with a data science programming language such as Python, R or Julia Hands-on experience with data ...

ML. Key skills and responsibilities, Demonstrated hands-on experience with Microsoft Fabric and Power BI. Extensive knowledge in data modelling, DAX, Python/PySpark, SQL/KQL. Proven record of technical leadership and effective stakeholder engagement. Design and deliver comprehensive Fabric solutions, including OneLake, Lakehouse, Warehouses, and Power BI. Lead ...

Data Analyst with at least 2 years in a Lead capacity Strong hands-on experience with AWS , Databricks , dbt and Apache Airflow Advanced SQL + Python Expert in visualisation tools (Tableau/Power BI) Experience working in a regulated banking environment Ability to manage stakeholders at all levels Nice ...

Extensive hands-on experience with SAS 9.4 (DI) and SAS Studio . Experience with SAS Viya 4 and SAS RTENG is highly preferred. Strong SQL and data modelling skills. Proven experience building data pipelines in enterprise-scale environments with high-volume, complex datasets. Knowledge of ETL tools ( Pentaho, Talend ...

performance dashboards + support strategic decision-making. In-depth experience of Power BI, Tableau + ETL tools for reporting dashboards + data visualisation. Strong SQL + advanced MS Excel skills for data extraction, analysis + modelling. Experience of AWS Cost Management tools including: Cost Explorer, Budgets, CUR, tagging strategies. Analysing ...

have the following skills and experience: Hands-on experience with AWS cloud data technologies such as Redshift, Glue, S3, Lambda or IAM. Proficiency in SQL and Python for data processing and orchestration tools such as Airflow Experience with modern modelling approaches and tooling such as dbt. Practical experience with infrastructure ...

have the following skills and experience: Hands-on experience with AWS cloud data technologies such as Redshift, Glue, S3, Lambda or IAM. Proficiency in SQL and Python for data processing and orchestration tools such as Airflow Experience with modern modelling approaches and tooling such as dbt. Practical experience with infrastructure ...

systems Developing scalable data models to support reporting Supporting the evolution towards a more modern data architecture What they’re looking for.. Essential: Strong SQL experience in a production environment Experience with data warehousing, modelling or ETL Comfortable improving data quality and consistency Confident working with non-technical stakeholders Nice ...

agile environment. Your Skills and Experience • Strong commercial experience working as a Data Engineer in a cloud environment. • Proven capability with AWS, Python, SQL, and Airflow. • Hands‐on experience designing and maintaining data pipelines and data models. • Knowledge of Redshift or similar cloud data warehouse tools. • Experience with infrastructure ...