1 to 25 of 477 SQL Jobs in Berkshire

years’ experience in data engineering, including technical or team leadership. Expertise in AWS (preferred) or Azure , and experience managing data pipelines in the cloud. Strong skills in Python and SQL , with a solid grasp of data warehousing concepts. Experience with DBT , Redshift , or Postgres , and familiarity with BI tools (Power BI preferred). Proven understanding of CI/CD principles More ❯

engineers and analysts. Candidate Profile Proven experience leading data engineering or BI teams in complex organisations. Expertise in cloud data platforms and data processing services. Strong skills in Python, SQL, and Power BI (DAX, Power Query, data modelling). Knowledge of ETL/ELT pipelines, data warehousing, and data mesh architectures. Familiarity with AI/ML applications, metadata management, and More ❯

and CI/CD pipelines. Key Skills: Proven experience in Python programming for data analysis (pandas, numpy, Jupyter). Strong object-oriented programming and design pattern knowledge. Experience with SQL and relational databases. Familiarity with data visualisation tools (e.g., Plotly Dash, Power BI). Understanding of software development best practices (Git, CI/CD, testing). Exposure to cloud computing More ❯

alongside commercial teams. • 5+ years of experience with analytical tools such as Power BI and Azure Data Studio. • Strong data analysis skills with advanced Excel expertise. • Proven experience with SQL and Python. • Ability to translate large datasets into actionable insights. • Strong communication skills, with the ability to present data-driven findings to senior stakeholders. • Proficiency in creating impactful presentations in More ❯

C++, Python, or similar. Strong front-end development skills with HTML, CSS, JavaScript, and experience with frameworks like React or Angular. Solid understanding of database systems and experience with SQL or NoSQL databases. Knowledge of RESTful API design and microservices architecture. Familiarity with Git and version control workflows. Preferred Skills Experience with Agile methodologies and tools like Jira. Familiarity with More ❯

C++, Python, or similar. Strong front-end development skills with HTML, CSS, JavaScript, and experience with frameworks like React or Angular. Solid understanding of database systems and experience with SQL or NoSQL databases. Knowledge of RESTful API design and microservices architecture. Familiarity with Git and version control workflows. Preferred Skills Experience with Agile methodologies and tools like Jira. Familiarity with More ❯

relevant languages such as Python, JavaScript, or TypeScript. • 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. • Ways of Working: •Comfortable working in Agile/Scrum environments, participating in sprint planning, stand-ups, and retrospectives. •Experience using More ❯

Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. dbt, Airflow, Azure Data Factory). Familiarity with 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 ❯

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 ❯

ideally in investment banking or financial services. Solid understanding of trade lifecycle , pricing , and risk management . Familiarity with FIX protocol , MQ messaging , and RESTful APIs . Experience with SQL databases and data modelling. Knowledge of DevOps practices , CI/CD pipelines, and version control tools (e.g., Git). Excellent problem-solving and communication skills. Desirable: Experience with vendor platforms More ❯

Technology, or a related field. Proven experience with Salesforce Data Cloud and other Salesforce products. Strong understanding of data management concepts, data governance, and data integration methodologies. Proficiency in SQL, data modeling, and analytics tools. Demonstrated expertise in API development and integration. Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills. Experience in training or mentoring More ❯

Bachelor’s degree in a STEM field (Computer Science, Engineering, Maths, Physics). 2–4 years’ experience in a technical, data, or engineering-focused role. Strong skills in Python, SQL, and Excel/VBA . Experience building or maintaining ETL/data pipelines , particularly around APIs or FTP processes. Working knowledge of Microsoft Azure and Git . Excellent analytical, communication More ❯

enterprise grade data solutions Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning and cost management Familiarity with SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or More ❯

PySpark - Hands-on experience with AWS services, especially EMR, S3, Lambda, and Glue - Deep understanding of Snowflake architecture and performance tuning - Solid grasp of data modeling, warehousing concepts, and SQL optimization - Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions) and infrastructure-as-code - Experience with data governance frameworks and security best practices - Excellent communication and collaboration skills Nice More ❯

PySpark - Hands-on experience with AWS services, especially EMR, S3, Lambda, and Glue - Deep understanding of Snowflake architecture and performance tuning - Solid grasp of data modeling, warehousing concepts, and SQL optimization - Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions) and infrastructure-as-code - Experience with data governance frameworks and security best practices - Excellent communication and collaboration skills Nice More ❯

platforms such as Tableau, Power BI, QlikView, or Domo. Preferred Qualifications Experience in sales operations or go-to-market strategy analytics. Knowledge of CRM systems like Salesforce. Familiarity with SQL, Python, or R for data manipulation and analysis. Experience working in a large-scale enterprise environment with cross-functional global teams. More ❯

Computer Science, Engineering, or a related STEM subject. 2+ years’ experience as a Software Engineer (or Data Engineer with a software focus). Strong coding skills in Python and SQL . Understanding of distributed systems and Linux environments. Detail-oriented problem solver with a passion for learning. Excellent communication and teamwork skills. Desirable: Experience with AWS , Snowflake , or Databricks . More ❯

5+ years of experience in Data Engineering, with strong skills in data warehousing, BI, and big data. Team leadership and technical leadership Proficiency in Python and/or R, SQL, and CI/CD tools. Experience with AWS (preferred) or Azure, and tools like DBT and PowerBI. A problem-solving mindset with a passion for agile, iterative development. Ability to More ❯

analytics or engineering, within the financial services sector. Advanced proficiency in Power BI and Microsoft Dynamics 365 (including marketing and sales modules). Demonstrable full-stack development skills in SQL, Turbo C and Python, with proven experience in API development and data integration. Experience designing scalable data architectures and ETL pipelines. Proven ability to manage multiple priorities and deliver projects More ❯

Proficiency in cloud platforms (Azure, AWS, or GCP) and data processing services. Advanced skills in Power BI, including DAX, Power Query, and data modelling. Strong programming abilities in Python, SQL, and/or Scala. Expertise in ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with More ❯

databases) Collaborate with data scientists and engineers Explore new tools to boost ML performance and reliability What are we looking for? Solid MLOps or ML Engineering experience Strong Python & SQL skills Hands-on with AWS, Azure, Terraform Great communication & problem-solving skills Bonus: Familiarity with finance or data viz tools (Power BI/Tableau, Excel More ❯

a plus/• Working knowledge of CRM’s interoperability capability with MS Office, MS Office 365, SharePoint, Azure and MS BI Stack • C#/VB.net, ADO.Net, XML, T/SQL, JQuery, JavaScript, Web Services, ASP.NET, and Silverlight skills • Experience in leading a Team • PowerApps Preferred • Planning and Prioritization skills • Experience in capturing requirements related to internal/external consulting, documenting More ❯

in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice, and modern development workflows. Excellent communication and interpersonal skills — able to influence, advise, and collaborate effectively. Evidence More ❯

dimensional, and NoSQL approaches. Expertise in data integration, ETL/ELT, and data pipeline design. Hands-on experience with data lakehouse, warehouse, and streaming data architectures. Working knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master More ❯