26 to 50 of 1,269 SQL Jobs in the South East

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 ❯

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 ❯

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 ❯

Experience: Expertise in cloud platforms (Azure) and data engineering best practices . Advanced proficiency in Power BI , including DAX, Power Query, and data modeling. Strong programming skills in Python, SQL, and/or Scala for data processing and automation. Experience with ETL/ELT, data warehousing, and event-driven architectures . Knowledge of AI/ML applications in data analytics 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 ❯

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 ❯

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 ❯

is hands-on and collaborative, offering the chance to make tangible impact across data quality, scalability, and reliability. Requirements 5+ years' experience in Data Engineering with strong Python and SQL skills. Background in building and maintaining ETL/ELT pipelines in a cloud environment (AWS or Azure). Knowledge of data warehousing (e.g., Redshift, Postgres) and tools like DBT . More ❯

quality Test, monitor, and optimise pipelines for accuracy and performance What You'll Bring 3 to 5 years of experience in data engineering, data warehousing, or analytics engineering Strong SQL and Python skills with hands-on experience in PySpark Exposure to Azure Databricks, Microsoft Fabric, or similar cloud data platforms Understanding of Delta Lake, Git, and CI/CD workflows More ❯

the firm's audit analytics capabilities. Requirements: Degree in Computer Science or a related field. Proficiency in Microsoft PowerApps, Power BI, and VBA. Proven experience in computer programming (e.g. SQL, Python) and data manipulation Understanding of data visualisation and storytelling within an audit or financial context. Familiarity with external audit methodologies and professional standards Strong analytical and problem-solving skills More ❯

experience in a Data Analyst or similar technical role. Strong hands-on experience with RESTful API design , documentation (Swagger/OpenAPI), and testing tools (e.g. Postman). Proficiency in SQL and scripting languages such as Python or R . Solid understanding of data modelling, ETL processes , and system integration . Experience working with Azure and Microsoft data tools including Power More ❯

degree in Computer Science or related STEM field (or equivalent experience). 10+ years of hands-on experience developing with C#/.NET in production environments. Strong command of SQL and relational database design. Deep understanding of software engineering principles and architecture patterns. Excellent written and verbal communication skills. Experience mentoring or managing developers. Demonstrated ability to lead technical projects More ❯

Data Science, Computer Science, Information Systems, or other equivalent Experienced in data analysis, BI, or a related area Familiarity with BI tools (e.g. Tableau, Power BI, Looker) and basic SQL for data querying Proficiency in Microsoft Excel for data manipulation and reporting Solid ability to analyse and interpret data, with keen attention to detail Basic experience with data modelling Exposure 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 ❯

Node.js, and in event-driven and eventual consistency systems using Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside work as how More ❯

data to tell stories, make insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data visualisation with tools such as Tableau or Power BI. Confident writing efficient code and troubleshooting sophisticated queries. More ❯

communication skills, capable of presenting findings clearly and facilitating collaborative discussions. Technical proficiency in Power BI (DAX, data modelling), with exposure to Salesforce Analytics and Alteryx preferred. Knowledge of SQL, Python, or R is advantageous for data manipulation and automation. Proven ability in relationship building and stakeholder management, with a collaborative approach to driving outcomes. Highly organised with project management More ❯

will likely have: A degree in Finance, Economics, Mathematics, Statistics, or a related field. Confident Excel skills and strong attention to detail. Curiosity about tools such as Power BI, SQL, Python, or R. An interest in how data influences financial performance. Clear communication skills and a collaborative mindset. What’s on Offer Salary of £35,000–£40,000 depending on More ❯

through collaborative work with engineering and architecture teams. Essential Experience & Skills: Proven background in Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with More ❯

at least one cloud platform and its managed data services. Familiarity with big data technologies such as Parquet, Iceberg, and streaming platforms like Kafka. Strong knowledge of database systems, SQL data model design, and query optimization. Experience with containerization using Kubernetes and Docker. Proven ability to deliver scalable and performant data services using microservice architectures. Experience developing scalable architectures using More ❯

software development environment. Hands-on experience with Selenium or equivalent automation frameworks. Programming skills in Java or Python for writing test scripts. Familiarity with testing applications built on MS SQL, ASP.NET, and C# . Strong understanding of the software development and testing lifecycles. Experience in project estimation, risk management, and test planning. Excellent communication, analytical, and problem-solving skills. A More ❯

software development environment. Hands-on experience with Selenium or equivalent automation frameworks. Programming skills in Java or Python for writing test scripts. Familiarity with testing applications built on MS SQL, ASP.NET, and C# . Strong understanding of the software development and testing lifecycles. Experience in project estimation, risk management, and test planning. Excellent communication, analytical, and problem-solving skills. A More ❯

authentication, authorisation, and other security best practices. Maintain internal API and code documentation. Essential Skills Strong experience with React, TypeScript, Java, Spring Boot, and RESTful API development. Proficient with SQL databases and CI/CD tools. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Solid understanding of software testing frameworks and secure coding practices. Experience working in More ❯

authentication, authorisation, and other security best practices. Maintain internal API and code documentation. Essential Skills Strong experience with React, TypeScript, Java, Spring Boot, and RESTful API development. Proficient with SQL databases and CI/CD tools. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Solid understanding of software testing frameworks and secure coding practices. Experience working in 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 ❯