1 to 25 of 27 Amazon Redshift Jobs in the UK

Supporting the delivery of accurate and actionable business insights Skills & Experience We're looking for experience with some or all of the following: DataStage Amazon Redshift Amazon QuickSight AWS Amazon S3 SQL Java Relational Databases GitHub or GitLab You don't need to tick every box. ...

data team and design/build high-performing semantic models that will underpin Power BI and Microsoft Fabric reporting. Working with data held in Amazon Redshift, you'll create a logical, business-friendly data layer that enables accurate, scalable analytics across a complex organisation. This … create reliable and consistent analytical layers. Work with data engineers to understand underlying data structures and ensure models are built effectively on top of Amazon Redshift. Help shape how the organisation consumes data by creating a trusted, accessible reporting foundation. Skills & Experience Strong SQL development experience, with the ability ...

scalable data solutions within UK Central Government. What You'll Be Doing Design, build, and maintain production-grade data pipelines using AWS services including Amazon EMR, S3 and Lambda. Develop scalable data processing solutions using PySpark, Python and SQL with a focus on performance, resilience, testing and observability. Lead … essential). Proven experience delivering data engineering solutions within UK Central Government. Strong commercial experience with Informatica. Hands-on expertise with AWS services including Amazon EMR, S3 and Lambda. Advanced PySpark, Python and SQL skills for large-scale data processing. Experience building and maintaining enterprise-scale batch data pipelines. ...

Cloud data warehousing - experience with Snowflake is highly desirable, but not essential . Experience with equivalent platforms such as Databricks, Azure Synapse, BigQuery or Redshift will also be considered. dbt - experience building data models, tests, incremental models and transformations would be advantageous. Python - data engineering, automation, ingestion and pipeline ...

ability to write, read, and optimise complex queries across large datasets Experience working with a cloud data warehouse such as Snowflake (preferred), BigQuery, Redshift, or Synapse Experience working in a modern cloud environment (AWS, GCP, or Azure), with exposure to core services such as cloud storage and orchestration Experience ...

predictive and prescriptive insigh ts.ETL & Data Engineering: Experience designing scalable ETL/ELT pipelines using modern tools and framewor ks.Cloud Platforms: Familiarity with AWS (Redshift, Athena, S3) or Azure (Synapse, Data Lake, AD F).Data Governance: Understanding of GDPR, PII, and secure data management principl es.Communication: Strong data storytelling ...

with database technologies like PostgreSQL, MongoDB, CosmosDB, and SQL Server is also beneficial. Knowledge of data warehousing technologies such as Databricks SQL, Snowflake Warehouses, Amazon Redshift, and Google BigQuery is important for structuring and managing large volumes of data. Data engineers should be adept at Extract, Transform, Load … processes. This includes using frameworks such as the Medallion Architecture, as well as tools like Apache Airflow, Fivetran, Azure Data Factory, and Amazon Glue to automate data workflows and ensure data quality. Familiarity with cloud computing services, such as AWS, Azure, or Google Cloud Platform, is increasingly important. Data ...

maintaining ETL/ELT pipelines Commercial experience working with Azure or AWS cloud platforms Experience with modern data platforms such as Databricks, Snowflake or Redshift Experience using orchestration tools such as Airflow, Azure Data Factory or Prefect Strong understanding of data warehousing and data modelling principles Excellent problem-solving ...

technical innovation across the business. Requirements: Proven experience designing and delivering cloud-native data engineering solutions. Strong expertise with Azure (Data Factory, Synapse), AWS (Redshift, Glue), or GCP (BigQuery, Dataflow). Experience contributing to cloud data architecture and technical solution design. Strong programming skills in Python, Scala, or Java. ...

Functions. Skilled in modern programming, particularly Python, Java, Scala and PySpark. Solid knowledge of data storage and big data technologies, including data warehouses, databases, Redshift, RDS and Hadoop. Experience building and managing AWS data lakes on S3 for both structured and unstructured data. What happens next? To apply, please ...

offer the following skills & experience. Strong experience in Python, PySpark/Spark, Databricks, Azure Data Factory, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest. Experience designing, building and supporting scalable data pipelines and data products in cloud environments. Experience developing and maintaining REST APIs using frameworks ...

experience with dbt or similar ELT tools. Experience building and optimising scalable data pipelines and data warehouses. Knowledge of AWS technologies such as Redshift, S3 and Athena. Experience with Airflow, Fivetran or similar orchestration and integration tools. Strong Linux/Unix and Bash scripting skills. A solid understanding ...

data warehousing concepts and implementation Deep knowledge of Kimball dimensional modelling methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow, ADF, etc.) Data Modelling Extensive experience designing ...

experience with Google Cloud Platform (GCP) . Knowledge of containerisation (Docker, Kubernetes) and CI/CD practices. Familiarity with data warehouse technologies (BigQuery, Redshift, Snowflake, etc.). #mle #machinelearning #datascientist #python #sql #timeseries #ai #cicd #cloud #contractjobs Reasonable Adjustments: Respect and equality are core values to us. ...

production environments Strong understanding of data quality, reconciliation and validation practices Experience working with analytical data warehouse technologies such as ClickHouse, BigQuery, Snowflake or Redshift (beneficial) Experience with version control systems (preferably GitLab) and tools such as JIRA and Confluence Comfortable working with messy, incomplete or evolving datasets ...

skills Essential Confident with SQL for querying, exploring and shaping data Working knowledge of at least one cloud data platform (for example Snowflake, BigQuery, Redshift, Databricks or Azure Synapse) A good understanding of the data lifecycle: ingestion, transformation (ETL or ELT), modelling and getting data into a usable state ...

commercial/Agile environment Databricks Strong programming skills in Python, SQL and/or Spark AWS data tooling such as S3/Glue/Redshift/SageMaker (Or relevant experience in another cloud technology) Hands-on experience with ML model deployment, monitoring and life cycle management Experience building ...

developing data analytics and AI-driven solutions. Skilled in designing and automating data quality metrics and KPIs. Proficient with AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR) and/or Azure (ADF, Synapse, Fabric, Functions). To be Considered.... Please either apply by clicking online or emailing me directly ...

What we're looking for 6+ years' experience in data architecture on complex, secure programmes Strong hands-on AWS experience (EC2, S3, RDS, Lambda, Redshift); Azure or GCP a bonus Proven experience using Apache Flink for real-time, high-throughput data processing Experience leading, mentoring and developing technical teams ...

data lakehouse architectures using Delta Lake, Apache Spark, or similar open-source frameworks Familiarity with AWS-native data services such as Glue, Lake Formation, Redshift, or Athena Exposure to data governance practices including cataloging, lineage tracking, and data access control at the platform layer AWS certification(s) in cloud ...

data architecture, including Data Lake (Iceberg, Hudi) and Serverless data concepts. Familiarity with mainstream global cloud products such as AWS EMR/Redshift, Google BigQuery, Snowflake, and Databricks., Ability to perform competitive analysis and develop differentiation strategies. Soft Skills: Excellent logical thinking, communication skills, and the ability to work ...

such as Salesforce Understanding of how declarative platform automation silently alter data post-import Experience in relational cloud-based database technologies like Snowflake, BigQuery, Redshift Understanding of cloud computing security concepts Familiarity with DBT and Databricks Experience working in an agile environment Experience working with AI tools (Claude Code ...

technical challenges You have a good knowledge of modern software engineering best practices, microservices, TDD/DDD, common Design Patterns Experience with Databricks, PostgreSQL, Amazon RedShift or MLflow would be great but not essential What's in it for you: As a Senior Machine Learning Engineer (Python ...

build and maintain modular, analytics-ready data models (dimensional, star schema) that serve BI tools, AI agents, and automated reports. BigQuery preferred; Snowflake, Redshift, or Postgres transferable Cloud and pipeline fluency; comfortable navigating GCP (BigQuery, IAM, GCS, CLI) and managing end-to-end ELT pipelines using tools like Fivetran … take work from ambiguous brief to production output independly Nice to have Ecommerce data familiarity; you've worked with Shopify, GA4, Meta Ads, Klaviyo, Amazon, or similar DTC data sources, or you're the kind of person who can pick up new metric frameworks and source-level data quirks ...

Senior Data Product Manager/Data Product Manager/Head of Data Product We've partnered with a brilliant FinTech business that's going through a major transformation across Data, Digital, Technology and Customer Experience. ...