1 to 25 of 34 Amazon Redshift Jobs in London

Proficiency in Python or Scala for data processing Strong SQL skills for querying and managing relational databases Experience with AWS services including S3, Glue, Redshift, Lambda, and Athena Knowledge of ETL processes and data pipeline development Understanding of data modelling and data warehousing concepts Familiarity with version control systems ...

within banking or financial services (essential) Strong SQL and Python (or equivalent) development skills Hands-on experience with modern data platforms (e.g. Snowflake, Databricks, Redshift, BigQuery) Cloud experience (AWS, Azure, or GCP) Solid understanding of data modelling, warehousing, and pipeline design Experience supporting regulatory or risk-related data workflows ...

vector databases Experience handling structured and unstructured data (e.g. text, documents, logs, images) Knowledge of scalable storage solutions such as Delta Lake, Parquet, Redshift and DynamoDB Experience optimising AI models (e.g. quantisation, distillation, inference tuning) Strong troubleshooting and performance optimisation skills across distributed systems Desirable Skills Additional experience across ...

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 ...

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 ...

services ( AWS, Azure, GCP ) 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 ...

builds). Strong SQL skills for data validation, reconciliation, and analysis. Experience with data warehouses, data lakes, or big data platforms such as Snowflake, Redshift, BigQuery, or Spark. Familiarity with CI/CD tooling (Jenkins, Azure DevOps, GitHub Actions, GitLab CI). Experience working with Git based version control. ...

builds). Strong SQL skills for data validation, reconciliation, and analysis. Experience with data warehouses, data lakes, or big‑data platforms such as Snowflake, Redshift, BigQuery, or Spark. Familiarity with CI/CD tooling (Jenkins, Azure DevOps, GitHub Actions, GitLab CI). Experience working with Git‑based version control. ...

expertise with Snowflake (architecture, performance tuning, security, Snowpipe, streams/tasks) Strong experience with AWS cloud data ecosystem, ideally including: S3, Glue, Lambda, Redshift, EMR, Kinesis, IAM, CloudWatch Strong SQL skills and proficiency in Python, DBT Understanding of data governance frameworks (e.g., Collibra, Alation is a plus) Hands ...

services (AWS, Azure, GCP) 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 ...

fintech, SaaS, or digital platforms Deep proficiency in SQL and hands-on experience with dbt Experience working with modern data warehouses (Snowflake, BigQuery, or Redshift) Familiarity with software engineering principles (Git, CI/CD, testing frameworks) Strong understanding of data visualisation and BI tools Confident communicator able to translate ...

evaluation methods. Experience working with structured and unstructured datasets (documents, logs, text, images). Familiarity with scalable data storage solutions (Delta Lake, Parquet, Redshift, DynamoDB). Understanding model optimization techniques (quantization, distillation, inference optimization). Strong capability to debug, tune, and optimize distributed systems and AI pipelines. Desirable skills ...

Mastery of data modeling techniques Skilled in data ingestion, integration, and transformation using modern tools (Data Factory, Databricks, SQL DB, Synapse, Glue, Airflow, Kinesis, Redshift) Hands-on experience with DevOps tooling: GitHub Actions, Azure DevOps, SonarQube, PyTest Proven ability to coordinate incident, problem, and change management processes Strong communication ...

Pandas, NumPy, and SQLAlchemy. Experience working with traditional SQL databases (e.g. PostgreSQL, MySQL, SQL Server) and cloud data warehouses (e.g. Snowflake, Databricks, BigQuery, Redshift). Experience with time-series data, and/or implementing data pipelines from major financial market data vendors (Bloomberg, Refinitiv, Factset....) SDLC and DevOps ...

clustering, tree‐based models, neural networks, MLOps practices and model deployment. Data Platforms: relational and NoSQL databases, time‐series stores, cloud data services (AWS Redshift, Azure Synapse, Google BigQuery) and distributed computing frameworks. Analytics & BI: Tableau, Power BI, matplotlib/Plotly, Excel or similar tools for data storytelling. ...

evaluation methods. Experience working with structured and unstructured datasets (documents, logs, text, images). Familiarity with scalable data storage solutions (Delta Lake, Parquet, Redshift, DynamoDB). Understanding model optimization techniques (quantization, distillation, inference optimization). Strong capability to debug, tune, and optimize distributed systems and AI pipelines. ...

following skills and experience: Strong commercial experience in Python, SQL and cloud-based data engineering. Hands-on experience with AWS services such as Redshift, Athena, S3, Glue and ideally Kinesis. Understanding of streaming data, system performance and cost-efficient architecture. A proactive mindset with the confidence to identify ...

Data Architect or similar data-led engineering role. Strong technical capability across data modelling, integration, governance, and transformation. Experience with AWS (S3, Glue, Redshift, Lambda, Kinesis) and/or Azure (ADF, Synapse, Fabric). Familiarity with modern data platforms (e.g. Databricks, Snowflake, or Lakehouse environments). Ability to operate ...

frameworks. Experience with enterprise-scale implementations of cloud-native data platforms such as Databricks and Snowflake. Strong knowledge of AWS data analytics services, including Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, and S3 data lake patterns. Preferred Qualifications, Capabilities, and Skills Experience navigating complex data governance, security ...

Essential Skills & Experience Active SC Clearance (must already be held) Strong hands-on experience with core AWS data services , including: AWS Glue Lambda S3 Redshift Strong programming skills in Python Solid working knowledge of SQL Experience with data warehouse and database technologies , including AWS Redshift ...

warehouse, data mesh/federated operating models). Good working knowledge of at least one major cloud data platform (e.g., Databricks, Snowflake, BigQuery, Synapse, Redshift) and ability to remain platform-agnostic. Demonstrable experience interfacing with senior business and technology stakeholders and facilitating complex decision-making. Excellent communication skills, with ...

attribution, propensity modelling) is beneficial but not required Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and data warehousing technologies (e.g., Databricks, BigQuery, Redshift) is a big plus Comfortable using Git for versioning and collaboration Our Commitment to You: Competitive salary 25 days holiday, plus an additional ...

cloud-native environments and enjoy building scalable, data-driven applications. 🔧 What we’re looking for: • 5+ years working with AWS services including Aurora, Postgres, Redshift, S3, DynamoDB, CloudFront, SES, API Gateway, Step Functions, EventBridge, and SAM/CloudFormation • Strong SQL programming expertise • Experience with NestJS and modern front ...

workflows, NLP). Strong product and systems thinking with a practical, impact-led mindset. Nice to Have AWS experience (e.g. SageMaker, Bedrock, Lambda, S3, Redshift). Familiarity with MLOps practices. Background in adtech, media, fraud, or adversarial systems. Why Join Work on technically challenging, high-scale AI problems. ...

Domain : Telecom Domain experience - MUST HAVE Role Overview We are seeking an experienced AWS Data Engineer with strong expertise in ETL pipelines, Redshift, Iceberg, Athena, and S3 to support large-scale data processing and analytics initiatives in the telecom domain . The candidate will work closely with data architects ...