1,201 to 1,225 of 5,268 SQL Jobs in the UK

anomalous behaviour of the recognition system. Organising the process of conducting and evaluating the results of A/B tests. Desired skills Proficiency in data analysis tools such as SQL and Python: You should be experienced in writing efficient queries for PostgreSQL. Some tasks will require running tests on our internal datasets or making automation. You will need basic knowledge More ❯

optimize cloud-based networks (VNets, App Gateways, etc) Familiarity and experience with integrating multiple third-party tools like SonarCloud. Ability to build environments from the ground up (windows, linux, SQL, Redis, WebApps, etc) Experience with containerization Preferred skills: Kubernetes or other orchestration tools NewRelic scripted monitors Experience with security tools (including CheckPoint) and best practices Hadoop, Kafka, Presto (or similar More ❯

statistics, data and analysis •You will have a good understanding of statistics, such as distributions, hypothesis testing and regression. •Experience of or a willingness to learn coding languages, particularly sql and Python (including core data analysis libraries such as Pandas and NumPy). •Experience creating engaging data narratives and visualisations to tell a story •A curiosity around data, and desire More ❯

a wide range of stakeholders Lean Six Sigma Black Belt Certification Approximately 30-40% travel required PREFERRED QUALIFICATIONS Experience in process improvement Experience in analytical tool building Understanding of SQL Experience with data visualisation tools such as Tableau, Power BI or QuickSight Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our More ❯

based environments (preferably GCP). Proven track record of leading large-scale dashboarding, reporting, and integration projects. Deep understanding of data governance, consent management, and PII handling. Experience with: SQL, Python Power BI (or equivalent BI tools such as Looker, Tableau, Omni) dbt, Airflow, Docker (preferred) Twilio Segment (or other CDPs such as mParticle, Salesforce Data Cloud) Exceptional stakeholder management More ❯

in data engineering/analyst and related fields Advanced analytical framework and experience relating data insight with business problems and creating appropriate dashboards Mandatory required high proficiency in ETL, SQL and database management Experience with AWS services like Glue, Athena, Redshift, Lambda, S3 Python programming experience using data libraries like pandas and numpy etc Interest in machine learning, logistic regression More ❯

challenge the status quo and improve ways of working Excellent stakeholder management skills, with the ability to gather and refine requirements to ensure value delivery Key Skills: Expert level SQL skills, extracting and transforming data with speed and accuracy Strong programming experience (preferably Python or R), with experience of building, testing and deploying machine learning models Experience delivering predictive or More ❯

less technical audiences. Experience managing stakeholders at all levels. Educated to degree level or higher, preferably in a numerical field and/or statistical background. Technical requirements: Proficient in SQL and hands-on coding experience with Python for Data Analytics Experience with setting up and automating data pipelines, ETL processes, etc Proficiency in using data visualization tools such as PowerBI More ❯

challenge the status quo and improve ways of working Excellent stakeholder management skills, with the ability to gather and refine requirements to ensure value delivery Key Skills: Expert level SQL skills, extracting and transforming data with speed and accuracy Strong programming experience (preferably Python or R), with experience of building, testing and deploying machine learning models Experience delivering predictive or More ❯

Azure (Azure Data Factory, ADLS Gen2, Azure Synapse Analytics). Understanding of ETL/ELT processes and data warehousing concepts. Familiarity with medallion data lake architecture principles. Experience with SQL and database technologies. Experience with version control systems like Git. Familiarity with media or advertising data. Good understanding of CI/CD practices. Life at WPP Media & Benefits Our passion More ❯

range of clients Proven ability to take a logical approach and apply critical thinking skills in order to tackle problems We'd Love to See: Knowledge of Python and SQL DAMA CDMP or DCAM certifications Keen interest and familiarity with generative AI frameworks Experience in semantic structures or data modeling Experience using data visualization tools such as Tableau, QlikSense, or More ❯

challenge the status quo and improve ways of working Excellent stakeholder management skills, with the ability to gather and refine requirements to ensure value delivery Key Skills: Expert level SQL skills, extracting and transforming data with speed and accuracy Strong programming experience (preferably Python or R), with experience of building, testing and deploying machine learning models Experience delivering predictive or More ❯

a focus on all data quality dimensions and integrate metrics with centralized tools that measure data products' quality and reliability in the organization Qualifications Understanding of data engineering (including SQL, Python, Data Warehousing, ETL, Dimensional Modelling, Analytics) Understanding of cloud data infrastructure elements, and ideally AWS (Redshift, Glue, Athena, S3) and understanding of existing governance frameworks of data quality and More ❯

less technical audiences. Experience managing stakeholders at all levels. Educated to degree level or higher, preferably in a numerical field and/or statistical background. Technical requirements: Proficient in SQL?and hands-on coding experience with Python for Data Analytics Experience with setting up and automating data pipelines, ETL processes, etc Proficiency in using data visualization tools such as PowerBI More ❯

contributor Demonstrable experience in data management related role such as data quality, data modeling and/or data engineering Demonstrable experience with data analysis using tools such as Python, SQL, and/or Tableau Understanding of regulations and the impact on financial markets Ability to spot market trends and act on them to enhance depth and breadth of coverage Experience More ❯

solving, identifying and confidently mitigating any risks, issues or control weaknesses that arise in your day-to-day What we're looking for Strong experience in dbt Proficiency in SQL/Python/Pyspark and/or other languages relevant to data processing Familiarity with cloud platforms like AWS, GCP or Azure (desirable) Excellent probleming solving skills and attention to More ❯

focused on Finance (SaaS or usage based preferred). Deep hands on expertise withdbt(production grade models, testing, CI/CD) andSnowflake(performance tuning, RBAC, cost management). Advanced SQL + Python (pandas, scipy/statsmodels, or Prophet) for forecasting, scenario modeling, and statistical analysis. Strong grasp of SaaS/cloudunit economics-MRR/ARR, COGS allocation, gross margin, payback More ❯

or similar (Quarkus, Micronaut) Strong understanding of HTTP and REST as an architectural style to build APIs. Fluent with asynchronous programming techniques and frameworks (in Java). Fluent in SQL and experience with RDBMS like Postgres and Oracle. Experience with Docker and docker-compose. Exposure to AWS specifically S3 , Aurora, ElasticCache Exposure to modern CI/CD platforms like Gitlab More ❯

for good. You live in the UK and have the right to work. Essential Skills: Strong C# skills API Development .NET 8 Unit and Integration Testing Entity Framework Core SQL (generic knowledge) Source code versioning using Git. Bonus points for any of the following: Postgres OAuth 2.0 GraphQL Containers (Docker, Kubernates) AWS (We use a variety of services including Elastic More ❯

great attention to detail, and experience with data-related projects. Proficiency in Excel, data validation experience, and a solid mathematics background are required. Experience with hedge fund administration and SQL are a plus.Acadian supports a hybrid work environment; employees are onsite in the Boston office 3 days/week. What You'll Do: Complete complex, performance-related, quantitative analyses under More ❯

of data. Happy to contribute and share knowledge amongst their own team and Tes Engineering via knowledge sharing meetings. What You Need to Succeed Strong skills in Python and SQL Demonstrable hands-on experience in AWS cloud Data ingestions both batch and streaming data and data transformations (Airflow, Glue, Lambda, Snowflake Data Loader, FiveTran, Spark, Hive etc.). Apply agile More ❯

Senior Engineer into Tech Lead/Engineering Manager roles. Are comfortable leading strategy but still enjoy being close to architecture and implementation. Have worked with JavaScript/TypeScript, Node.js, SQL, React or similar technologies. Bring strong experience in backend engineering, APIs, cloud infrastructure (we use AWS), and modern DevOps. Have experience building products in high-stakes or regulated domains (e.g. More ❯

with the Reporting & Insight and overall data strategy We need you to have Experience of working in a BI environment using Strategic BI Tools - for example Databricks, Power BI, SQL, Python Strong analytical skills and a keen eye for detail, with the ability to problem solve and find the best solutions. A real curiosity about data and latest BI tools More ❯

desk to handle support calls. Document processes and reference guides. Support wider IT teams in the delivery of projects where applicable. Use SCCM, Azure, Cloud Services, VMWare, NetApp, and SQL applications. Provide a professional and high-quality interface between systems support and its customers, ensuring customers feel assured they will be helped. Have good knowledge of FreshService and its configuration More ❯

and delivery of cloud data platform solutions Deliver highly scalable big data architecture solutions using Google Cloud Technology: Create and maintain appropriate standards and best practices around Google Cloud SQL, BigQuery, and other data technologies Design and execute a platform modernization approach for customers' data environments Document and share technical best practices/insights with engineering colleagues and the Data More ❯