1 to 25 of 174 SQL Jobs in Bristol

modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You’ve got a background in software engineering, including Front End technologies like JavaScript. You’re a problem-solver, pragmatically exploring options and finding effective solutions. An More ❯

prioritize data-driven strategies. We are seeking a Data Engineer to lead the development, maintenance, support, and integration of our expanding array of data sources into both on-premises SQL data warehouses and modern Lakehouse architectures hosted on Azure. This role is integral to our Reporting & BI ecosystem, as it supports our Commercial, Operational, and Finance functions through robust, scalable … to build their own reports and dashboards by enhancing data accessibility and developing self-service capabilities About you: Data Warehouse Expertise: Extensive experience in maintaining and optimizing on-premises SQL Server data warehouses, focusing on stored procedures, indexing, partitioning, and load performance. A proven track record in designing and building data warehouses using Kimball methodologies, dimensional modeling, star schema design … Factory, and Logic Apps Microsoft Fabric: Hands-on experience with Microsoft Fabric or similar modern cloud platforms, with a strong focus on data migration strategies and ETL development Advanced SQL & Python: Proficiency in writing advanced SQL queries, stored procedures, and Python scripts for data manipulation, pipeline development, and automation ETL & Data Pipelines: Experience with ETL tools (both on-prem like More ❯

business. Empower stakeholders to build their own reports and dashboards by enhancing data accessibility and developing self-service capabilities. Required Background Extensive experience in maintaining and optimising on-premises SQL Server data warehouses, focusing on stored procedures, indexing, partitioning, and load performance. An understanding of Azure cloud tools such as Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, and … Logic Apps Proficiency in writing advanced SQL queries, stored procedures, and Python scripts for data manipulation, pipeline development, and automation Experience with ETL tools (both on-prem like SSIS, and cloud-based like Azure Data Factory) for creating, optimising, and maintaining data pipelines Skilled in Power BI Premium, including data modelling, DAX, performance tuning, and advanced reporting features like composite More ❯

Oracle, Snowflake databases or similar Knowledge of ELT tools e.g. ODI or similar technology Strong knowledge of data management principles, database systems, and data warehousing concepts. Detailed knowledge of SQL, writing clear, concise and performant SQL queries. Proficiency in business intelligence tools and technologies (e.g., OAS, Power BI). Excellent communication and interpersonal skills, with the ability to effectively collaborate More ❯

or more of the following platforms: Microsoft Fabric, Azure Synapse Analytics and Azure Databricks, and experience in some of the supporting data technologies like Power BI, Microsoft Purview, Azure SQL Database, Azure Cosmos DB, Azure Data Lake, etc. Azure: Understand core Azure infrastructure concepts and tools (Networks, Identify/Entra, ARM, BICEP, Terraform, etc). You don’t need to More ❯

team. You will be responsible for designing, building, optimising and supporting the data-driven solutions within our products and across the organisation. You should have in-depth knowledge of SQL databases (Microsoft or Postgres), and be familiar with dimensional modelling, star schema design and ETL processes. You will have the opportunity to be part of our strategic plan to incorporate … and an excellent communicator. Skills, experience and behaviours The following skills and experience are essential: ◦ Proven experience as a data engineer (or similar) in an Agile environment ◦ Experience of SQL database systems and data warehousing, focusing on stored procedures, indexing, partitioning and load performance ◦ Experience of ETL, dimensional modelling and star schema solutions ◦ Technical expertise with data models, data mining More ❯

BI or other data visualisation tools with a strong grasp of visual communication. Strong problem-solving abilities and analytical thinking. Effective communicator, engaging across various business functions. Experience with SQL, Python, R, database design, and ETL processes – Desirable. Qualifications for the Business Intelligence Engineer Passion for or interest in a Business Intelligence Engineer role, ideally with a degree or equivalent More ❯

unsupervised and to manage a varied workload efficiently Minimum criteria You'll need all of these. Solid understanding of data pipeline/ELT development, including performance tuning Very good SQL skills Past experience and solid understanding of end to end Data Warehouse, Data Lake and BI design and delivery at scale (high level and detailed) and various architectural strategies Solid … and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake Understanding of AWS cloud and fundamental services like IAM, Lambda, S3 etc. Experience of liaising with both in-house and third party development teams, across different geographical … sites Skilled at writing and understand Python code especially those using AWS boto3 APIs Good understanding of replication software such as DMS Desirable criteria Very good SQL skills Past experience and solid understanding of end to end Data Warehouse, Data Lake and BI design and delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills More ❯

MO teams, from technical staff to business, with a knack for clear and effective communication. Desirable Knowledge of data management principles, database systems, and data warehousing concepts. Knowledge of SQL, writing clear, concise and performant SQL queries. Proficiency in business intelligence tools and technologies (e.g., OAS, PowerBI, Looker). Understanding of cloud technologies Who you'll be working with The More ❯

Experience in scripting languages such as Python, Shell, and other scripting languages to support DevOps and Quality Engineering work. Experience with building datastore solutions on at least one No-SQL(Elasticsearch) would be beneficial but not essential. Build automation tools to support CI/CD pipeline Strong Accessibility, Security, Performance and Caching coding Set yourself apart: Proven ability to apply More ❯

Join to apply for the Senior Data Engineer role at IBM . 2 days ago Be among the first 25 applicants. Introduction In this role, you’ll work in one of our IBM Consulting Client Innovation Centres (Delivery Centres), delivering More ❯

and build scalable real-time data applications. Spanning the full data lifecycle and experience using a mix of modern and traditional data platforms (e.g. Hadoop, Kafka, GCP, Azure, Teradata, SQL server) you’ll get to work building capabilities with horizon-expanding exposure to a host of wider technologies and careers in data. Helping in adopting best engineering practices like Test … Bank’s customers. What we need you to have experience in: Coding: Coding/scripting experience developed in a commercial/industry setting (Python, Java, Scala or Go, and SQL). Databases & frameworks: Strong experience working with Kafka technologies. Working experience with operational data stores , data warehouse , big data technologies , and data lakes . Experience working with relational and non … relational databases to build data solutions, such as SQL Server/Oracle , experience with relational and dimensional data structures. Experience in using distributed frameworks ( Spark, Flink, Beam, Hadoop ). Proficiency in infrastructure as code (IaC) using Terraform . Experience with CI/CD pipelines and related tools/frameworks. Containerisation: Good knowledge of containers ( Docker, Kubernetes etc). Cloud: Experience More ❯

writing Blogs, Workshops, Seminars or Conferences) Skills and experience that you need Excellent experience delivering in Python and experience with at least one other core language Excellent experience of SQL and relational databases. NoSQL databases is also desirable. Solid experience of at least one Cloud provider such as AWS, Azure or GCP. Solid experience of working with Snowflake and dbt. More ❯

writing Blogs, Workshops, Seminars or Conferences) Skills and experience that you need Excellent experience delivering in Python and experience with at least one other core language Excellent experience of SQL and relational databases. NoSQL databases is also desirable. Solid experience of at least one Cloud provider such as AWS, Azure or GCP. Solid experience of working with Snowflake and dbt. More ❯

IT services, from the software used by vets in clinics through to data warehousing and analytics. As such, the team covers a mix of development (Visual Studio, Power Platform, SQL) and governance (project management, business analyst, product owner) skillsets. Technically, the Data Architect will be expected to fulfil many of the tasks traditionally covered by a DBA role in a … cloud infrastructure environment. We primarily rely on Microsoft products, so experience of Microsoft SQL server and its variants in Azure will be central to the role. In addition, acting as the domain Enterprise Architect, the Data Architect will be the technical authority accountable for defining and implementing our strategy for growing our data warehouse and BI capability. As such, the … working with neighboring technologies, most notably Microsoft’s Power Platform and Azure infrastructure. Experience across Microsoft Azure cloud platform = DataBricks/Spark The administration of database systems, primarily Microsoft SQL Server. Data Warehousing/Data Lakes/Master Data Management/Artificial Intelligence (AI)/Data Governance. The use of REST APIs, JSON and ETL technologies/protocols for moving More ❯

. Ability to interpret complex financial data and translate insights into strategic recommendations. Excellent communication and presentation skills. Detail-oriented with strong problem-solving abilities. Preferred Qualifications: Experience with SQL or Power BI for data visualization. Knowledge of advertising and attribution modelling. More ❯

and experience Proficiency in application development: Working knowledge of MS Power Platform; knowledge of legal applications (such as Visualfiles, Intapp, etc.) is an advantage. Database management: Strong knowledge of SQL and Python. API development and integrations: Expertise in creating and consuming RESTful APIs, experience with SOAP services, and familiarity with Azure technologies (Azure Service Bus, Logic Apps, Function Apps, Power More ❯

lead and develop teams in a dynamic and fast-paced environment. Strong understanding of SaaS metrics, customer analytics, and industry-specific KPIs. Proficiency in tools like Tableau, Power BI, SQL, and cloud platforms such as Snowflake or AWS. Expertise in data governance and compliance within the UK and EU regulatory context. Bachelor's Degree in Data Science, Computer Science, or More ❯

willingness to learn further technologies & techniques Cultivate strong working relationships within the Digital department About You Ideally 3+ years' experience developing in Java 8+ Working knowledge of RDBMS and SQL Able to effectively use version control to manage code, in particular Git Understanding of professional development methodologies, tools (e.g source control, automation testing tools, build servers and wider SDLC) Working More ❯

Provide support and guidance to junior data engineers. Qualifications & Experience Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience (essential). Proficiency in SQL and data modeling (essential). Experience with ETL tools and processes (essential). Knowledge of cloud-based data platforms (e.g., AWS, Azure) (desirable). Strong problem-solving and analytical skills More ❯

design and build scalable real time data applications. Spanning the full data lifecycle and experience using mix of modern and traditional data platforms (e.g. Hadoop, Kafka, GCP, Azure, Teradata, SQL server) you'll get to work building capabilities with horizon-expanding exposure to a host of wider technologies and careers in data. Helping in adopting best engineering practices like Test … you will too... WHAT WE NEED YOU TO HAVE EXPERIENCE IN Coding Coding/scripting experience developed in a commercial/industry setting (Python, Java, Scala or Go and SQL) Databases & frameworks Strong experience working with Kafka technologies Working experience with operational data stores , data warehouse , big data technologies and data lakes Experience working with relational and non-relational databases … to build data solutions, such as SQL Server/Oracle , experience with relational and dimensional data structures Experience in using distributed frameworks ( Spark, Flink, Beam, Hadoop ) Proficiency in infrastructure as code (IaC) using Terraform Experience with CI/CD pipelines and related tools/frameworks Containerisation Good knowledge of containers ( Docker, Kubernetes etc) Cloud Experience with GCP, AWS or Azure More ❯

and technical processes such as code reviews and Change Advisory Board meetings. What We're Looking for in You Experience of working as a Data Engineer. Highly proficient in SQL, Python and Spark (pyspark) for developing and testing data engineering pipelines and products to ingest and transform structured and semi-structured data. Understanding of data modelling techniques and data pipeline More ❯

technologies e.g. Docker. Managing application deployed to Kubernetes clusters, Istio & Helm. Cloud: GCP, GKE, IaC (Terraform). Build Tools & DevOps principles: Git, Maven, Jenkins CI/CD, Nexus, SonarQube. SQL/NoSQL database, Basic Unix/Linux Skills, TDD using JUnit. It would be great if you also had Experience in Spring Boot and Hibernate. Experience in JavaScript or other More ❯

smooth knowledge transfer and user adoption. Essential Skills & Experience Technical Expertise Proven experience as a Lead Dynamics 365 Developer, with a strong focus on Business Central. Proficiency in AL, SQL, JavaScript, TypeScript, Liquid, and other relevant programming languages for Dynamics 365 development. Stakeholder Engagement Hands-on experience managing and collaborating with offshore partners and internal stakeholders. Strong communication skills with More ❯

smooth knowledge transfer and user adoption. Essential Skills & Experience Technical Expertise Proven experience as a Lead Dynamics 365 Developer, with a strong focus on Business Central. Proficiency in AL, SQL, JavaScript, TypeScript, Liquid, and other relevant programming languages for Dynamics 365 development. Stakeholder Engagement Hands-on experience managing and collaborating with offshore partners and internal stakeholders. Strong communication skills with More ❯