1 to 25 of 796 SQL Jobs in the South East

collaboration and continuous improvement. About you Proven experience as a Senior or Lead Developer in a fast-paced environment. Strong proficiency in .NET, C#, SQL, Visual Studio, Power Platform, SharePoint. Experience with cloud platforms (Azure) and CI/CD pipelines. Experience with Developing and monitoring Azure integrations Demonstrable people management

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

Spark, Flink, or Beam). Solid understanding of data modeling, schema design, and ETL architecture. Experience working with relational and columnar data stores (e.g., SQL, Postgres,BigQuery). Familiarity with semantic data models or knowledge graphs. Understanding of data versioning, provenance tracking, and metadata management. Strong problem-solving and debugging

practices across the team. What You'll Need to Succeed Proven experience delivering cloud-based data engineering solutions, ideally with Snowflake. Strong proficiency in SQL, Python, and dbt for transformations and pipeline automation. Practical experience with Snowflake features and RBAC management. Familiarity with ingestion tools (Airbyte, Fivetran, Hevo) and cloud

C++, C#, Java, or JavaScript Curiosity and problem-solving mindset — you love figuring things out Comfortable learning new technologies quickly Bonus: experience with Git, SQL, or personal projects you can show off Why You’ll Love It Here Impact: You’ll write code that ships — not sit on sidelines Growth

experience in Data Engineering or cloud-based data roles. Strong expertise in Azure cloud services and Databricks . Advanced proficiency in Python and SQL for data engineering. Experience with ETL/ELT tools and orchestration frameworks (e.g., Airflow, dbt). Strong knowledge of data warehousing and cloud-based data architectures.

designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written

Practitioner) Knowledgeable in the practical application of Agile methodologies and frameworks (e.g., Scrum), with demonstrable experience of upskilling teams in Agile. Good understanding of SQL, Python, and other relevant development languages Ability to use data analytics and visualisation tools, such as Tableau, Power BI and Elasticsearch. Good understanding

Practitioner) Knowledgeable in the practical application of Agile methodologies and frameworks (e.g., Scrum), with demonstrable experience of upskilling teams in Agile. Good understanding of SQL, Python, and other relevant development languages Ability to use data analytics and visualisation tools, such as Tableau, Power BI and Elasticsearch. Good understanding

requirements into intuitive reporting solutions. Strong knowledge of Management Studio/ESM automation. Demonstrated experience in process improvement and workflow optimisation. Basic programming knowledge (SQL, Python, or similar) to support workflow creation, automation, and improvements across the programme. Strong analytical, problem-solving, and communication skills and background with Financial Services

Python, Java, or Scala. Experience with cloud platforms like Azure. Knowledge of big data technologies such as Hadoop, Spark, or Kafka. Proficiency in SQL and database management systems. Familiarity with data warehousing concepts and tools. Ability to work collaboratively with cross-functional teams. A solid understanding of data security

Python, C++, Java, or JavaScript Curiosity and problem-solving mindset — you love figuring things out Comfortable learning new technologies quickly Bonus: experience with Git, SQL, or personal projects you can show off Why You’ll Love It Here Impact: You’ll write code that ships — not sit on sidelines Growth

retail banking or wider financial services sector Additional technical experience in any of the following – PySpark, Microsoft Azure, VBA, HTML/CSS, JavaScript, JQuery, SQL, PHP, Power Automate, Power BI What we offer A highly competitive salary A genuinely compelling profit share scheme, with the potential to own a significant

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

risks. About you: A deep knowledge and understanding of Cyber accumulations and experience with cyber catastrophe models (CyberCube, Moody’s RMS, Guidewire). Advanced SQL and excel skills. Familiarity with Power BI and Python an advantage. Excellent analytical and problem-solving skills, with a keen attention to detail. Current knowledge

comfortable working with technical and finance stakeholders alike. Desirable Skills & Experience Experience with system integration's and APIs. Background in software development or scripting (SQL, Python, JavaScript). Exposure to other business applications and willingness to support wider systems. Experience in a hybrid IT/Finance role. Why Join

Delta Lake, cluster optimisation, job scheduling). Solid knowledge of Azure cloud services including: Azure Data Lake Storage Azure Data Factory Azure Synapse/SQL Pools Azure Key Vault Strong programming skills in Python and SQL. Experience building scalable, production-grade data pipelines. Understanding of data modelling, data warehousing concepts

Microsoft Fabric architecture and components Expertise in Microsoft Fabric Data Engineering Fabric Dataflows/Azure Data Factory Experience with Azure Synapse, Data Lake, SQL, and integration pipelines Desirable: Experience with other low-code or analytics platforms Knowledge of data governance frameworks and security models Microsoft certifications (e.g., Power BI Data

including Databricks and Data Factory, to help us build and optimise cutting-edge solutions. You'll bring strong programming skills in Python, PySpark, and SQL, along with proven experience in designing data models, developing pipelines, and implementing modern data architecture. Your ability to translate complex technical concepts into clear, actionable

Power BI, Looker, or equivalent Strong understanding of UX/UI principles and visual storytelling through data Working knowledge of creating data connections - e.g. SQL and relational databases, DataBricks, JSON files, API services, Data Lakes Meticulous attention to detail with a user-first mindset Excellent communication and collaboration skills across

resolve issues in complex cloud environments. Essential Skills Strong experience with AWS services (Glue, Lambda, S3, Redshift, IAM). Proficiency in Python and SQL for data engineering tasks. Knowledge of data modelling, ETL frameworks, and best practices. Familiarity with security and compliance in government or regulated environments. Excellent communication

transformation pipelines using Databricks, Azure, and Power BI to turn complex datasets into reliable, insight-ready assets. You'll apply strong skills in SQL, Python, and PySpark to build efficient ELT workflows and ensure data quality, performance, and governance. Collaboration will be key as you partner with analysts and business

similar Hands-on experience with Microsoft Fabric (essential) Proven expertise with Azure Data services (Data Factory, OneLake, Synapse, etc.) Solid background in database technologies (SQL), reporting tools (Power BI) Excellent communication skills to work across technical and non-technical teams Experience with migration projects (e.g., moving from legacy

Hands-on experience with Microsoft Fabric (essential) Proven expertise with Azure Data services (e.g. Data Factory, OneLake, Synapse, etc.) Solid background in database technologies (SQL), and reporting tools (Power BI) Excellent communication skills to work across technical and non-technical teams Experience with migration projects (e.g., moving from legacy

information via various means Provide 1st line support to the business as part of the applications team Essential Requirements Proficiency in relational database languages (SQL) Experience with Microsoft Power BI or similar reporting tool Strong numerical and analytical capabilities Expert-level proficiency in Excel Meticulous attention to detail Complex problem