26 to 35 of 35 Amazon Redshift Jobs in Berkshire

techniques. What You’ll Bring Proven experience in DevOps or a similar engineering role. Proven experience deploying and managing AWS infrastructure (EC2, S3, RDS, Lambda, Glue, EMR, VPC, IAM, Redshift, etc.). Strong background in Terraform for infrastructure as code. Expertise in CI/CD automation using GitHub Actions. Hands-on experience managing Linux environments and scripting (Python, Bash More ❯

will have the following skills and experience: Strong Python (python frameworks), backend development experience (3+ years) Experience working with AI/ML or big data systems. Familiarity with AWS , Redshift , or other cloud data platforms (GCP/Azure also welcome). Background in AdTech, MarTech or experience with Meta Marketing API or Google Ads API is a plus. Ability More ❯

in either Java, Golang (Go), Python or Scala – multiple would be even better! • Experience with cloud platforms e.g. AWS, Azure, GCP - Google Cloud • Experience with data warehouses e.g. BigQuery, Redshift, Snowflake • Ability to work collaboratively • Open to new AI tools and technologies • Could come from roles like Senior Backend Engineer or Senior Full Stack Engineer They offer a great More ❯

Databricks) Deep hands-on experience with Databricks, Delta Live Tables (DLT), data modelling, data ingestion & integration Strong proficiency across Data Factory, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, GITHUB/DevOps tools, testing frameworks (SonarQube/PyTest) Proven experience leading data engineering teams while remaining actively hands-on involved in delivery Background within energy, utilities, commodities or More ❯

Skills & Experience: 5+ years of experience building and maintaining data pipelines in production environments Strong Python and SQL skills (Pandas, PySpark, query optimisation) Cloud experience (AWS preferred) including S3, Redshift, Glue, Lambda Familiarity with data warehousing (Redshift, Snowflake, BigQuery) Experience with workflow orchestration tools (Airflow, Dagster, Prefect) Understanding of distributed systems, batch and streaming data (Kafka, Kinesis) Knowledge More ❯

trading, CRM, RUM, finance) into a central Data Lakehouse. Implement best practices for data ingestion, validation, transformation, and storage using modern cloud tools (e.g., Databricks, S3 Data Lakes, Spark, Redshift, AWS Glue). Working closely with data analysts to enable operational/regulatory reporting and data insights/visualisation. Data Governance & Quality Define and enforce data standards, quality assurance … desirable. Required Skills Hands-on experience designing and implementing ETL pipelines and data lake/warehouses in cloud environments. Advanced knowledge of AWS or Azure data services (Databricks, Glue, Redshift, S3 Data Lakes, Spark, or equivalent). Strong programming and data manipulation skills (Python, SQL). Solid background in financial reporting, trading data, or analytics within financial markets. Proven More ❯

similar Media Technical Support role You have experience within a media, creative environment at a scaling or SME company You have experience with Cinema 4D ideally, will also consider Redshift, Thinkbox, Deadline and Adobe Suite You're an independent problem solver, able to manage multiple projects and provide effective solutions to complex technical problems You're collaborative with great More ❯

Business Intelligence Engineer Hybrid – London Up to £400 a day Inside IR35 12 Months Key Skills: 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Key job responsibilities • Design, develop, and oversee the reporting pipelines to … needs • Adopt best practices in reporting, including ensuring data integrity, designing thorough testing, validating outputs, and maintaining comprehensive documentation Basic qualifications • 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience • Knowledge of paid media buying and general marketing • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modeling, warehousing and building … Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business Preferred qualifications • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets • Experience with forecasting and statistical analysis • Adjacency and understanding on media More ❯

About 173tech Our mission is simple, we turn data into value. We are a modern analytics agency that works with some of the fastest growing businesses and top tier VCs globally. We help our clients and their portfolio companies build More ❯

Job Title: Data Engineering Manager Job Type: Full Time, Permanent Location: London, Hybrid Role Purpose At Travelex we are developing modern data technology and data products. Data is central to the way we define and sell our foreign currency exchange More ❯