176 to 200 of 4,443 SQL Jobs in London

complex data challenges. Exceptional attention to detail and a meticulous approach to work, consistently ensuring data accuracy, reliability, and completeness Advanced fluency in SQL and Python, or similar programming languages, for complex data manipulation, modelling, automation, and analysis Proficiency with Google Cloud Platform, etc. Ability to work effectively and independently ...

operates What skills do I need? 5 + years experience working with data to solve problems and drive evidence-based decisions Excellent SQL skills and experience of applying analytical and statistical approaches to problem solving Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact ...

governance teams to agree definitions, resolve data issues and embed sustainable stewardship and operating ownership. Data engineering Essential experience Production data engineering, including SQL, Python, a modern data platform such as Databricks, Snowflake or Fabric, and orchestration tooling, with practical experience of ETL/ELT, data testing ...

operatesWhat skills do I need? 5 + years experience working with data to solve problems and drive evidence-based decisionsExcellent SQL skills and experience of applying analytical and statistical approaches to problem solvingProven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervisionExcellent ...

owners, architects and governance teams to agree definitions, resolve data issues and embed sustainable stewardship and operating ownership. Data engineering Production data engineering, including SQL, Python, a modern data platform such as Databricks, Snowflake or Fabric, and orchestration tooling, with practical experience of ETL/ELT, data testing ...

strategic asset Understanding of engineering platforms and data integration with engineering systems (Great to have skill) Advanced knowledge of data modelling tools, data lakes, SQL, and pipeline design Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders Proficient in Microsoft Fabric platform (Great ...

considering applying can easily work out whether or not they are suitably experienced or the right type of person to carry out the job. SQL — the core day-to-day skill for this role. Comfortable writing and reading queries across relational databases, including joins and aggregation, and ready to build ...

pipelines that deliver reliable, high-quality data. Develop curated, business-ready datasets that support reporting, dashboards and self-service analytics. Optimise data models, SQL queries and pipeline performance to improve efficiency and scalability. Implement data quality, monitoring and governance controls to ensure trusted, accurate data. Collaborate with BI Developers … robust technical solutions. Contribute to the continuous improvement of the data platform, exploring modern tooling and engineering best practices. What we're looking forStrong SQL skills with experience building and optimising data models. Experience designing and maintaining ETL/ELT pipelines. Experience working with cloud data platforms (AWS preferred).Exposure ...

workflow and data issues. Gather and translate business requirements into technical designs; run workshops and demo solutions. Integrate Power Platform with Microsoft 365, Azure, SQL Server and third-party systems via APIs. Support Power BI reporting and data visualisation initiatives. Apply role-based security, governance standards and ALM/deployment … experience with Power Apps, Power Automate and Dataverse, including environment administration. Microsoft 365 integration experience (SharePoint, Teams, Outlook) and Azure services. Power BI development, SQL Server/T-SQL, and REST API experience. Experience with ALM, source control (Azure DevOps or Git) and Agile delivery. Strong stakeholder management, communication ...

GitHub, MS Teams, etc.In-depth knowledge & development experience using Azure integration tools like Data factory, Logic Apps, etc. Along with knowledge of utilizing Azure SQL Server, Data lake, etc.In-depth knowledge & experience using Visual Studio, with one of the programming languages: C#/Java/JavaScript/Python, and PowerShell.Thorough …/CD pipeline.Knowledge and some experience of using Serverless, SOAP, XML, REST, JSON, EDI, XSLT, etc.Knowledge and some development experience using MS SQL Server (SSIS, T-SQL, Stored procedures, Functions, Views, Queries, Datatype conversions, etc.).Experience working with APIs, Postman/SOAPUI tools, MS D365, ServiceNow, Azure Analytics tools, Azure ...

Spark in production 5+ years in data engineering or software engineering with a strong data focus Experience building production‐grade pipelines on Azure Strong SQL and experience with analytical data models/data warehousing Proficiency in Python (Scala a bonus) Experience delivering enterprise‐grade data products used by multiple teams … Ability to communicate clearly with both technical and non‐technical audiences Experience with Azure Synapse (dedicated/serverless SQL pools) Agile mindset; experience working in Scrum teams Nice to Have Hands‐on experience with Docker , Kubernetes , or container orchestration Start: ASAP Location: London (with remote flexibility) Length: 6 months (likely ...

Data Migration and Data Integration projects. Strong experience working with large and complex datasets. Experience working across both AWS and Microsoft Azure environments. Databases & SQL Strong hands-on experience with: PostgreSQL MySQL Microsoft SQL Server Oracle Amazon Redshift Amazon Athena Excellent SQL development, optimisation, and troubleshooting skills. AWS Technologies Strong … Step Functions Amazon QuickSight Microsoft Azure Technologies Strong practical experience with: Microsoft Fabric Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Azure SQL Data Engineering Strong knowledge of: ETL and ELT design patterns Data Integration architectures Data Warehousing Data Lake and Lakehouse architectures Data Modelling Data Profiling Data ...

data processes to solve and improve business outcomes. Essential A degree in computer science or a related technical discipline. Minimum 1.5 years experience with SQL, data warehousing in a RDBMS (e.g. SQL Server, MySQL). Good understanding of Data Modelling concepts and techniques. Experience building and scheduling ETL workflows. Experience … with a cloud database management system like Snowflake. Good experience writing high quality, maintainable SQL on large datasets. Experience with cloud-based architecture (e.g. AWS, Azure). Experience using Git and version control tools (e.g. Github, Sourcetree, Bitbucket) Experience in working in an agile methodology. Positive team player ...

versioning and CI/CD Maintain and improve an AWS-native data platform (e.g., S3, Redshift, RDS, Athena, SageMaker, Lambda) Write and optimise complex SQL for analytics, reporting, modelling and downstream BI use Build and maintain integrations with internal services and partner systems to enable clean, scalable access to data … practical, scalable data solutions What We’re Looking For Strong data engineering fundamentals: pipeline design, orchestration, testing and monitoring Production-quality Python and advanced SQL skills Experience running machine learning systems in production , including model serving and monitoring Comfort working across cloud infrastructure (ideally AWS ) and an understanding of platform ...

Develop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformations Model and transform data for analytics using SQL and dbt to support business intelligence and reporting workloads Write production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented … lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar) Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt) Experience designing and operating orchestration pipelines using Airflow or similar tools Experience designing and building ...

Develop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformations Model and transform data for analytics using SQL and dbt to support business intelligence and reporting workloads Write production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented … lakehouse technologies (e.g., Redshift, BigQuery, Snowflake and engines such as Spark, Flink, or Trino and table formats such as Iceberg, Hudi, or similar) Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt) Experience designing and operating orchestration pipelines using Airflow or similar tools Experience designing and building ...

Analysis Guide and support data consumers in leveraging data products for analytics and planning Utilize AI‐assisted coding tools to accelerate development and optimize SQL Identify opportunities to embed AI into Planning & Analysis workflows Work with diverse data sets to support various Planning & Analysis processes Collaborate with senior team members … Strong analytical and problem‐solving skills with attention to detail Hands‐on experience building and prototyping data models to address user needs Proficient in SQL and Python for data analysis, engineering, and transformation Relevant experience developing, testing, and refining data models using dimensional and relational approaches Curious mindset with ...

observabilityDevelop and operate workflow orchestration (e.g., Apache Airflow) to schedule, monitor, and manage data movement and transformationsModel and transform data for analytics using SQL and dbt to support business intelligence and reporting workloadsWrite production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented designImplement infrastructure … lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar)Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt)Experience designing and operating orchestration pipelines using Airflow or similar toolsExperience designing and building streaming ...

proven track record of leading data projects in a fast-paced environment. Key ResponsibilitiesDesign, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging any of the following: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. Lead the integration of complex data systems … Master's degree in Computer Science, Engineering, or a related field.3+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies. Expertise in building scalable data workflows using cloud-native orchestration tools and distributed data processing frameworks. Demonstrated experience with Infrastructure ...

Single Customer Views or CDPs or Data Warehouses/Data Lakes to merge disparate data sets for marketing or sales activation Knowledge of RDBMS, SQL and NoSQL databases and cloud computing platforms Deliver optimum design for data management and data quality framework in conjunction with Data Engineering teams such … client systems are designed in accordance with the appropriate data architecture Experience with a range of database technologies including data lakes such as Azure SQL or SQL Server, PostgreSQL, Snowflake, MySQL, Cosmos DB or Mongo DB with Python and Pyspark Building data warehouse or data lakes with SCVs ...

proven track record of leading data projects in a fast-paced environment. Key Responsibilities Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging technologies such as: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. Lead the integration of complex data systems … degree in Computer Science, Engineering, or a related field. 3+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies. Expertise in building scalable data workflows using cloud-native orchestration tools and distributed data processing frameworks. Solid understanding of CI/ ...

analytics.Experience working with data pipelines, ELT workflows, and contemporary cloud data architectures.Experience with current cloud data platforms such as Snowflake, Azure Data Lake, Azure SQL, dbt, Airflow, or similar tools.Ability to understand and work with SQL queries and data models.Knowledge of data governance, privacy, security, regulatory reporting, and responsible data ...

Microsoft Fabric. Build data pipelines and ETL/ELT solutions using Azure Data Factory, Databricks and/or Synapse. Develop data processing solutions using SQL, Python and PySpark. Design and optimise data lakes, lakehouses, data warehouses and data integration solutions. Apply data quality, governance, security and performance best practices. Lead … engineering experience with strong Microsoft data technology expertise. Strong hands-on experience with Azure Data Factory, Microsoft Fabric, Databricks and/or Synapse. Strong SQL, Python and/or PySpark skills. Experience with Azure Data Lake/OneLake, data modelling and ETL/ELT. Understanding of data governance, security ...

across projects. On your accounts, you'll work day to day with fifty-five's consultants and data scientists. You'll combine strong SQL, Python and cloud engineering with sound technical judgement, using AI tools to build faster and to a higher standard while keeping full ownership of what … technical people. Raise the team's engineering standards through design and code reviews, strong testing practices and clear documentation. What you'll bring Excellent SQL and strong Python skills. Proven experience designing, building and operating reliable data pipelines, data models and cloud platforms (GCP preferred, AWS or Azure also welcome ...

with Customer Insights teams to combine quantitative data and customer research into actionable recommendations. Data Management and Reporting - Extract, clean and analyse data using SQL, Python and Excel to support reporting, dashboards and insight packs. Track key customer and business metrics such as NPS, engagement, retention, adoption and usage, while … better ways to use data to understand customers and business performance. Shows a willingness to learn new tools, techniques and technologies, including Python, SQL, Power BI, automation, data science and AI-enabled analytics. Uses evidence objectively, explaining what the data does and does not show, and avoids jumping to conclusions ...