1 to 25 of 5,540 SQL Jobs

apply appropriate engineering standards.Your experience is likely to include several of the following:Microsoft Fabric Snowflake Azure OneLake Lakehouse architecture Data Factory Spark Python SQL ETL/ELT dimensional modelling Data Vault orchestration Git Azure DevOps/GitHub CI/CD Infrastructure as Code data quality MLOps performance optimisationYou will ...

data solutions Deep understanding of data warehouse design principles and methodologies Advanced knowledge of optimisation techniques for large‐scale data processing Strong proficiency in SQL and Python for handling complex data problems Hands‐on experience with Apache Spark (PySpark or Spark SQL) Experience with the Azure data stack Knowledge ...

reporting outcomes. Help with repeatable migration processes, templates and validation approaches for future implementation activity. Support and maintain existing migration solutions developed using SQL Server Integration Services (SSIS), and be comfortable with working with and enhancing established migration processes where appropriate. Assist in the transition of migration processes from legacy … technologies and/or equivalent modern cloud data platforms. Experience with Microsoft Fabric, including Data Factory, Lakehouse, Dataflows and Semantic Models. Strong knowledge of SQL and data transformation techniques. Experience supporting data migration or system implementation projects. Experience working with SQL Server Integration Services (SSIS) and maintaining or developing ...

maintainability, scalability and reuse.Your experience is likely to include several of the following: Microsoft Fabric Snowflake Azure OneLake Lakehouse architecture Data Factory Spark Python SQL ETL/ELT dimensional modelling Data Vault orchestration Git Azure DevOps/GitHub CI/CD Infrastructure as Code data quality MLOps performance optimisationYou will ...

role requires strong hands-on experience across the Microsoft Azure data ecosystem, particularly Azure Data Factory, Azure Synapse and Power BI, together with strong SQL, data engineering and data modelling capabilities. Key Responsibilities Design, develop and maintain scalable data pipelines, data models and data warehouse solutions. Build and support … Develop dashboards, reports and analytics solutions to support business and operational decision-making. Design and optimise complex data models and datasets. Use Python and SQL for data manipulation, transformation and analysis. Support and enhance existing data solutions as they scale. Optimise code, queries, pipelines and processes for performance and reliability. ...

Senior Data Analyst with SQL Server SSIS and Network Engineering Summary of skills required: Power Automate Power BI Python Powershell SQL Server SSIS SSRS Essentially the Client is looking to recruit a candidate that can assist in IT Network Engineering and Data Engineering projects. Role Description The Senior Data Analyst … with SQL Server SSIS and Network Engineering will work in a full-time, hybrid capacity based in London, with some flexibility to work from home. Day-to-day responsibilities include designing and maintaining data workflows using SQL Server and SSIS, developing data models, and performing advanced data analysis to support ...

publish data across enterprise platforms. Work with structured and semi-structured data, applying appropriate data modelling, validation, and quality checks. Write and optimise SQL for data transformation, reconciliation, and performance tuning. Cloud Data Platform & DataOps Develop and support data solutions on Snowflake as a core cloud data platform. Use DataOps.live … analytics and decision-making. Preferred Skills & Experience Hands-on experience with Azure Data Factory, including pipeline orchestration, triggers, linked services, datasets, and monitoring. Strong SQL skills and experience working with cloud data platforms such as Snowflake. Experience with DataOps.live or similar DataOps/DevOps tooling for automated deployment and environment ...

clear Dev/Test/Prod separation, deployment pipelines, dataset certification/endorsement, refresh monitoring and access management. Coach analysts and BI developers on SQL, DAX, data modelling, visual design and engineering hygiene; take part in code/report reviews and knowledge‐sharing sessions. Work closely with Data Engineering … Knowledge and Experience Essential Well developed and demonstrable experience in a data analytics or BI role, preferably in an insurance or finance environment. Advanced SQL, including query optimisation and working with the Azure data stack (Data Factory, Synapse/Fabric, SQL‐based semantic layers). Advanced Power BI: data modelling ...

sources. Develop and maintain data warehouses and data lakes. Optimise database performance, storage and data models. Implement data solutions using Microsoft Fabric and Microsoft SQL Server. Work with analysts and data scientists to support reporting and analytics. Translate business requirements into effective technical solutions. Maintain data quality, governance, security … technical documentation and share knowledge across the team. Key Skills & Experience At least 4 years experience in data engineering or a related role. Strong SQL and Python skills. Experience building and managing ETL/ELT pipelines. Experience with cloud platforms such as Azure, AWS or GCP. Knowledge of relational ...

systems into analytical platforms, using ETL/ELT tools (such as Azure Data Factory, Synapse Pipelines, SSIS, Notebooks) and data engineering languages (Python, SQL). Proficiency in designing and optimizing modern data architectures, including data lakehouse/cloud patterns, dimensional modeling (star/snowflake schemas), and Power BI analytics (datasets ...

systems into analytical platforms, using ETL/ELT tools (such as Azure Data Factory, Synapse Pipelines, SSIS, Notebooks) and data engineering languages (Python, SQL). Proficiency in designing and optimizing modern data architectures, including data lakehouse/cloud patterns, dimensional modeling (star/snowflake schemas), and Power BI analytics (datasets ...

cloud-based enterprise data platform. As a Data Engineer, you will be working on technical solutions, whilst supporting our existing set of SQL Servers that are predominantly used to feed data into a number of analytics products. This will help the business with data-led decision making to provide essential … communicate solutions to both the data team, and to stakeholders Good understanding of database administration activities and principles Data transformation approaches Strong Python and SQL programming capabilities Data security approaches – e.g. permission models (AD, role-based etc.) and techniques to protect data in certain circumstances (e.g. encryption, masking) Desirable Qualifications ...

Design and build data models, schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools andtechnologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such asrelational, non-relational, or cloud-based. Working collaboratively with … data engineering teams and independently. Line/Team management experience, leadership experience Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ...

roadmap: track delivery of quick-wins, report progress on mid-term initiatives, and flag risks or dependencies TECHNICAL SKILLS & EXPERTISE Strong data engineering skills: SQL (advanced), Python or PowerShell for data extraction, transformation, and automation; experience with ETL/ELT pipelines Dashboard development: Power BI (preferred), Tableau, Grafana, or equivalent ...

roadmap: track delivery of quick‐wins, report progress on mid‐term initiatives, and flag risks or dependencies TECHNICAL SKILLS & EXPERTISE Strong data engineering skills: SQL (advanced), Python or PowerShell for data extraction, transformation, and automation; experience with ETL/ELT pipelines Dashboard development: Power BI (preferred), Tableau, Grafana, or equivalent ...

Mathematics or Computer Science). A minimum 8 years of professional experience in Data Analysis. Proficiency in at least one Programming language such as SQL, R or Python. Preferred Qualifications Additional certifications in Data Analytics, Data Science or Business Intelligence (e.g., Certified Analytics Professional, Microsoft Certified: Data Analyst Associate). … ensure data integrity. Extensive experience with Data Migration processes between systems and Data Source Identification. Proven experience in Data Consolidation, Database Management (e.g., SQL, Oracle, IBM DB2, Teradata) and Database Design. Expertise in creating Database Schema and managing Data Dictionaries. Significant experience with Machine Learning algorithms and frameworks for building ...

variety of data sources Carry out reactive and proactive data analysis of large datasets using a wide range of technologies such as Python, SQL and Power BI. Supervise the work of junior team members and be responsible for quality control of work products from the team Develop algorithms and solutions … have: Strong academic qualifications with a degree in a STEM discipline (Computer Science, Engineering, Statistics, Mathematics, etc.) or equivalent work experience Demonstrable proficiency in SQL, Python, Azure data factory and/or Databricks, and Visualization techniques and awareness across other programming languages such as R, C#, JavaScript Ability to work ...

emerging trends in Data Analytics and continuously integrating new tools and techniques to enhance client solutions. Proficiency in at least one Programming language (e.g., SQL, Python, R). Between 3 – 8 years of experience in Data Analysis or related roles. Hands-on experience with Data Visualisation tools such as Power … Tableau or Excel. Familiarity with Database Management and Design including SQL and Oracle. In-depth understanding of Data Governance principles and best practices in Data Management. Experience using Agile Project Management tools like Azure DevOps or JIRA. Experience with ETL processes and Data Migration between systems. Knowledge of Machine Learning ...

that connect our key business systems, using Boomi and Azure services, including point-to-point integrations. Alongside this, you will provide technical oversight of SQL development within the team, offering guidance and stepping in when needed. This role offers an exciting opportunity to contribute to our data management and governance … work with key stakeholders internally and externally to resolve them. Apply good engineering practice, including source control, testing and documentation. Provide technical oversight of SQL development within the team, stepping in when needed. Work closely with the Director of Data Services and other stakeholders to implement the company's data ...

reporting into this role. Design and develop homogenous data repositories to deliver data led decision making. Ingest data from various sources, including on premise SQL databases, REST API’s, Apache Kafka streams, etc. Define and apply cleansing rules to the data to ensure meets quality expectations. Define and model data … structuring code, testing, IOC, etc. Strong repositories, CI/CD skills. Strong knowledge of Kimball data modelling, such as star schema, snowflake, etc. Strong SQL skills. Strong data analysis skills. Excellent written and verbal communication skills A demonstrable track record of getting stuff done whilst managing competing pressures and deadlines ...

ensure close collaboration with the wider team and with our customers.## What you will do as a Senior Data Engineer* Design, administer and optimise SQL Server databases, ensuring performance, security, resilience, and availability.* Troubleshoot and resolve database-related issues in development and production environments.* Implement and maintain database security controls … junior engineers.## What you’ll bring* Proven experience in data engineering with ability to work independently and take ownership of deliverables.* Strong Python and SQL skills, with experience building and optimising data pipelines.* Strong experience with Microsoft SQL Server and working with large, complex databases.* Strong experience designing, administering ...

across projects. Identify opportunities to reuse existing data models and data assets to improve efficiency and consistency. Perform reverse engineering of existing databases and SQL scripts to produce accurate data models and documentation. Assess logical and physical data models for quality, integrity, performance and alignment with business requirements. Validate business … data analysis and profiling Strong data warehousing and OLTP systems from an integration perspective Strong understanding of data integration best practices and concepts Strong SQL skills required scripting preferred Strong Knowledge of all phases of the system development life cycle Experience with major database and big data platforms (e.g. ...

Data Science, Computer Science, Engineering, Information Systems, Mathematics, Statistics, Economics, Business Analytics or a related field. Proficiency in at least one programming language (e.g., SQL, Python, R). Core experience and skills 2–8 years in data, analytics, BI, engineering, data science, AI, automation or governance. Degree or equivalent experience … relevant discipline. Proficiency in SQL and at least one of Python, R, DAX or Power Query. Strong analytical and problem‐solving skills with messy or incomplete data. Ability to translate business requirements into clear data or technical outputs. Strong written and verbal communication, including explaining technical content to non‐technical ...

data pipelines and workflows that support operational monitoring, anomaly detection, service analytics, and business intelligence initiatives. Integrate data from multiple enterprise systems including Azure, SQL databases, APIs, cloud platforms, and operational systems. Establish and maintain data quality standards, governance practices, and reporting best practices. Partner with leadership teams to define … Experience with Microsoft Fabric, Azure Data Services, or modern cloud-based analytics platforms. Advanced Python programming skills for data processing, automation, and analytics. Strong SQL development and database querying experience. Experience working with source control and collaborative development practices using GitHub. Strong analytical and problem-solving skills with the ability ...

Data Science, Computer Science, Engineering, Information Systems, Mathematics, Statistics, Economics, Business Analytics or a related field. Proficiency in at least one programming language (e.g., SQL, Python, R). Core experience and skills 2–8 years in data, analytics, BI, engineering, data science, AI, automation or governance. Proficiency in SQL ...