1 to 25 of 29 Amazon Redshift Jobs in London

Data Engineer: Design, build and maintain scalable data pipelines and architectures within the AWS ecosystem Leverage services such as AWS Glue, Lambda, Redshift, EMR and S3 to support data ingestion, transformation and storage Work closely with data analysts, architects and business stakeholders to translate requirements into robust technical solutions ...

have skills and experience in the following: Cloud Data Architecture: Strong knowledge of modern, cloud-based data architecture and tooling (e.g., S3, Glue, Redshift, Athena, Lake Formation, Iceberg/Delta). AWS Platform Build: Demonstrable experience designing and building modern data platforms in AWS. ETL/Orchestration Expertise: Expertise ...

engineering, and DevOps. You will be accountable for solution design, engineering standards, and delivery assurance across an AWS data platform using S3, Glue, and Redshift . Key Responsibilities Providing hands-on technical leadership and mentoring to a small delivery team Designing and delivering data ingestion, transformation, and storage patterns … using S3, AWS Glue, and Redshift Owning data architecture decisions, including data modelling, partitioning strategies, and performance optimisation Defining and enforcing engineering standards across code quality, testing, CI/CD, IaC, and observability Building and optimising ELT/ETL pipelines using Glue (PySpark) , Lambda, Step Functions, and event-driven ...

ensure compliance with government security standards. Troubleshoot and resolve issues in complex cloud environments. Essential Skills Strong experience with AWS services (Glue, Lambda, S3, Redshift, IAM). Proficiency in Python and SQL for data engineering tasks. Knowledge of data modelling, ETL frameworks, and best practices. Familiarity with security ...

doing: Design, develop, and maintain scalable data architectures and ETL pipelines Build and manage data models and data warehouse solutions (Airflow, dbt, and Redshift) Write clean, efficient Python and SQL code for data processing and transformation Integrate data from internal and third-party APIs and services Optimise data pipelines ...

doing: Design, develop, and maintain scalable data architectures and ETL pipelines Build and manage data models and data warehouse solutions (Airflow, dbt, and Redshift) Write clean, efficient Python and SQL code for data processing and transformation Integrate data from internal and third-party APIs and services Optimise data pipelines ...

Preferred Qualifications (A Plus) Experience with a distributed computing framework like Apache Spark (using PySpark). Familiarity with cloud data services ( AWS S3/Redshift, Azure Data Lake/Synapse, or Google BigQuery/Cloud Storage ). Exposure to workflow orchestration tools ( Apache Airflow, Prefect, or Dagster ). Bachelor ...

upskill engineering teams Requirements 5+ years’ experience in data engineering, including senior or leadership roles Strong hands-on experience with AWS data services (S3, Redshift, Glue, Lambda, DMS, etc.) Proven experience delivering large-scale data migration programmes Expert-level Python and SQL, with experience in Snowflake Strong Infrastructure ...

maintain ETL/ELT pipelines using Python and SQL Orchestrate workflows with Airflow Work with cloud data platforms (AWS/GCP, BigQuery/Redshift) Improve data quality, monitoring, and reliability Collaborate with analysts and engineers to deliver trusted data What we're looking for: 3+ years' experience in data ...

skills Deep knowledge of modern data engineering patterns (ETL/ELT, data lakes, lakehouse, warehousing) Hands-on experience with cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue; Azure or GCP beneficial) Experience with data governance, data quality, metadata management, and regulatory considerations Personal attributes Strong business acumen ...

e.g., MySQL, PostgreSQL, MongoDB, Cassandra). Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services (e.g., Snowflake, S3, BigQuery, Redshift). Experience with containerisation and orchestration tools (e.g., Docker, Kubernetes). Familiarity with version control systems (e.g., Git) and CI/CD pipelines. Desirable ...

reporting. • Integrate data from multiple sources (APIs, cloud storage, databases) into a centralized data warehouse. • Manage and optimize AWS-based data infrastructure (S3, Redshift, Glue, Lambda, etc.). • Ensure data quality, integrity, and security across all stages of data processing. • Develop and maintain interactive dashboards and reports using Tableau … with SQL, ETL processes, and data pipeline development. • Expertise in Tableau BI for data visualization and dashboarding. • Hands-on experience with AWS services (S3, Redshift, Lambda, Glue, Athena, etc.). • Familiarity with relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB, DynamoDB). • Knowledge of supervised and unsupervised learning models, regression ...

documentation, governance, and knowledge transfer.Required Experience & Skills 5+ years in data engineering, including leadership or principal-level roles Deep hands-on AWS experience: S3, Redshift, Glue, Lambda, EMR, DMS, IAM, Step Functions Strong experience designing and delivering large-scale data migrations Expert-level Python and SQL Infrastructure-as-Code ...

Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside work ...

operational runbooks for proactive alerting Automation & Tooling: Utilize schema conversion tools, IaC (Terraform), CI/CD pipelines (GitLab), and AWS services (Glue, Athena, Redshift) for downstream analytics Data Modelling & Conversion (Good to have): Transform Db2 schemas to Aurora PostgreSQL; design logical/physical models, enforce referential integrity, and apply ...

have: A strong academic background in data science, computer science, mathematics, or a related field. Hands-on experience with AWS ML stack (SageMaker, Lambda, Redshift). Proven ability to design and implement machine learning algorithms and models. Proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, PyTorch ...

Skills requirements SQL ELT/ETL Data Modelling dbt models Version control (Git) Data processing and orchestration using Airflow or similar Google BigQuery or Redshift Cloud based services: GCP (preferred) or AWS Agentic development frameworks Automations About You 4 years+ experience as a Data Engineer solving complex and scaled ...

cloud platform Extensive hands-on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.) , data storage (e.g. Snowflake, Redshift, etc.) and also IaC ( e.g. Terraform, CloudFormation ) Software development experience with one or more languages (e.g. Python, Java, Scala, Go ) Pragmatic approach to solving problems Nice ...

EBCDIC to UTF-8 and packed decimal conversions, with validation test suites. Utilize migration tooling for schema conversion and downstream analytics (Glue, Athena, Redshift), with infrastructure-as-code (Terraform) and CI/CD (GitLab). Plan and execute cutovers with dual-run validation, reconciliation, rollback strategies, and data governance ...

Power BI Supporting self-service analytics and improving data literacy across the business Acting as an SQL subject matter expert (Postgres, Cloud SQL, BigQuery, Redshift) Using orchestration tools such as Airflow to deliver reliable, automated pipelines Contributing to IaC and CI/CD pipelines via GitHub Collaborating across engineering ...

with Python Tech (experience in any listed is advantageous) Python Cloud: AWS Lake house: Apache Spark or AWS Glue Cloud Native storage: Iceberg, RDS, RedShift, Kafka IaC: Terraform, Ansible CI/CD: Jenkins, Gitlab Other platforms such as Databricks or Snowflake will be considered You will have a fantastic ...

status quo and drive improvements. Confidence in collaborating across teams and markets to deliver impactful solutions. Nice-to-haves: Familiarity with Airflow , DBT , BigQuery , Redshift , Terraform , or Kubernetes . BENEFITS The successful Data Engineer will receive the following benefits: Salary up to £75,000 Flexible working arrangements, including hybrid ...

Data Platform Engineer – London (AWS, Apache Spark, AWS Glue, Iceberg, S3, RDS, Redshift, Kafka/MSK, Python, Terraform, Ansible, CI/CD, Jenkins, GitLab, Snowflake, Databricks) Working with an established FinTech client in London who is looking for a Data Platform Engineer to play a key role in defining ...

designing and building data platforms and data architectures - Hands on experience with design and build of cloud data warehouses - Snowflake experience is desirable, though Redshift or Synapse are also suitable - Experience with data orchestration tools such as Airflow or Prefect - Strong coding ability in Python, Java, or Scala - Experience ...

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 ...