journey of our data platform (AWS) Cloud Proficiency: Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and its core data services (e.g., S3, Redshift, Lambda/Functions, Glue). Data Modelling: Deep understanding of ELT/ETL patterns, and data modelling techniques. CRM/Customer Data Focus: Experience working directly with data from More ❯
journey of our data platform (AWS) Cloud Proficiency: Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and its core data services (e.g., S3, Redshift, Lambda/Functions, Glue). Data Modelling: Deep understanding of ELT/ETL patterns, and data modelling techniques. CRM/Customer Data Focus: Experience working directly with data from More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
INTEC SELECT LIMITED
data from diverse sources, including APIs like Facebook, Google Analytics, and payment providers. Develop and optimize data models for batch processing and real-time streaming using tools like AWS Redshift, S3, and Kafka. Lead efforts in acquiring, storing, processing, and provisioning data to meet evolving business requirements. Perform customer behavior analysis, gaming analytics, and create actionable insights to enhance … of experience in data engineering roles, with a proven ability to lead and mentor a team. Expertise in SQL, Python, and R. Strong proficiency in AWS technologies such as Redshift, S3, EC2, and Lambda. Experience with Kafka and real-time data streaming technologies. Advanced skills in building ETL pipelines and integrating data from APIs. Familiarity with data visualization and More ❯
Python or similar scripting language for test automation Experience with cloud platforms (AWS, GCP, or Azure), especially in data-related services Familiarity with data warehousing concepts (e.g., Snowflake, BigQuery, Redshift) Strong understanding of data governance, data profiling, and quality metrics Excellent problem-solving and communication skills Ability to work independently and as part of a distributed team Nice to More ❯
scalable test automation frameworks, with a focus on backend, API, and data systems using tools like Pytest and Postman. Expertise in Pandas, SQL, and AWS analytics services (Glue, Athena, Redshift) for data profiling, transformation, and validation within data lakes. Solid experience with AWS (S3, Lambda, EMR, ECS/EKS, CloudFormation/Terraform) and understanding of cloud-native architectures and More ❯
Engineers and Associates, and lead technical discussions and design sessions. Key requirements: Must-Have: Strong experience with AWS services: Glue, Lambda, S3, Athena, Step Functions, EventBridge, EMR, EKS, RDS, Redshift, DynamoDB. Strong Python development skills. Proficient with Docker , containerization, and virtualization. Hands-on experience with CI/CD , especially GitLab CI. Solid experience with Infrastructure as Code (Terraform, CloudFormation More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Lorien
and implementing data warehousing solutions using Snowflake and AWS. The ideal candidate must have: Strong experience as an AWS Data Engineer Lead the design and implementation of Snowflake [and Redshift] based data warehousing solutions within an AWS environment Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Develop and optimize ETL processes using More ❯
excellence — this could be the one. What you’ll do as a Principal Data Engineer: Lead the architecture and build of modern data platforms using AWS-native tools (S3, Redshift, Lambda, Glue, DynamoDB, Matillion, etc.). Drive best practices in CI/CD, Infrastructure-as-Code, and data ops methodologies. Liaise directly with clients to define requirements, shape technical … production-ready. Be an advocate of clean code, DevOps, and hands-on engineering leadership. Skills you’ll bring as a Principal Data Engineer: Extensive experience with AWS data services (Redshift, Glue, S3, etc.). Hands-on with ETL/ELT using Matillion or similar tools. Strong Python and SQL skills, with a good understanding of data formats Demonstrated experience More ❯
GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions … experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills: Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform More ❯
Slough, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
dbt) Track record turning research code into production services (CI/CD, containers etc) Strong SQL and data-management skills; experience querying large analytical databases (Snowflake highly desirable, but Redshift/BigQuery/ClickHouse etc. also welcome). PREFERRED QUALIFICATIONS: Meteorological understanding/experience with weather modelling Prior knowledge or experience in the power markets or energy sector. Experience More ❯
best" talent and have a diverse workforce. Your role will include: Design, develop, test, and deploy data integration processes (batch or real-time) in AWS using tools such as Redshift, S3, Glue, Athena, Lambda and Snowflake. Building pipelines, doing migrations, integration's with external systems. Solving simple and complex problems. Liaising with stakeholders across the business as an internal … Warehouse . They are looking for a candidate that has experience in... AWS Data Platform, Strong knowledge of Snowflake, S3, Lambada, Data Modelling, DevOps Practices, Ariflow, DBT, Data Vault, Redshift, ODS, Data Vault experience, Strong SQL/Python. This role is an urgent requirement, there are limited interview slots left, if interested send an up to date CV to More ❯
GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent). In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc. Excellent consulting experience and ability to design and build solutions … experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, StackDriver or More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
decisions and mentor junior engineers Collaborate across engineering, data science, and product teams to deliver business impact Skills & Experience: Expert in SQL , dbt , and cloud data warehouses (e.g., BigQuery, Redshift) Strong experience with Airflow , Python , and multi-cloud environments (AWS/GCP) Proven background in designing and scaling analytics solutions in agile environments Proven experience as an Analytics Engineer More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Client Server Ltd
have strong Python and SQL coding skills You have experience with big data frameworks and tools including Spark You have a good knowledge of AWS data services (e.g. S3, Redshift, EMR, Glue) You have strong analytical, problem solving and critical thinking skills You have excellent communication skills and experience of working across teams What's in it for you More ❯
. Strong familiarity with data warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms. Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure, AWS Redshift, GCP BigQuery). Experience with BI/analytics tools (e.g., Power BI, Tableau) and data visualization best practices. Strong knowledge of data governance, data privacy, and compliance frameworks (e.g. More ❯
NiFi) Strong familiarity with data warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure, AWS Redshift, GCP BigQuery) Experience with BI/analytics tools (e.g., Power BI, Tableau) and data visualization best practices Strong knowledge of data governance, data privacy, and compliance frameworks (e.g., GDPR More ❯
/D Inside IR35. Key Responsibilities Architect, implement, and manage infrastructure using Terraform , ensuring security, scalability, and reliability. Configure and optimize AWS services such as EC2, S3, Lambda, IAM, Redshift, and VPC to support business needs. Develop and maintain CI/CD pipelines using Git/GitLab and Jenkins for automated deployments and testing. Apply DevOps methodologies to streamline More ❯
Milton Keynes, England, United Kingdom Hybrid / WFH Options
BJSS
You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems, services and More ❯
Brighton, England, United Kingdom Hybrid / WFH Options
Endeavour Recruitment Solutions
CI/CD pipeline with Jenkins. CLI scripting (e.g., Bash or Python). PHP, Python, and Node.js. Consul and Vault. Highly Available RabbitMQ. Windows Server, SQL Server, & Active Directory. Redshift and Grafana. Blue/Green Deployments. PCI-DSS Compliance. Working with monolithic applications. Future direction to break down services & microservices, containerization, etc. Serverless stacks and event-driven architecture. Disaster More ❯
update an Airflow (or Azure Data Factory) job. Review: inspect dashboards, compare control vs. treatment, plan next experiment. Tech stack Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow)SQL (Redshift, Snowflake or similar)AWS SageMaker Azure ML migration, with Docker, Git, Terraform, Airflow/ADFOptional extras: Spark, Databricks, Kubernetes. What you'll bring 3-5+ years building optimisation More ❯
update an Airflow (or Azure Data Factory) job. Review: inspect dashboards, compare control vs. treatment, plan next experiment. Tech stack Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow) SQL (Redshift, Snowflake or similar) AWS SageMaker → Azure ML migration, with Docker, Git, Terraform, Airflow/ADF Optional extras: Spark, Databricks, Kubernetes. What you'll bring 3-5+ years building More ❯
will be responsible for deploying tooling through cloud platforms, utilising new LLM models and building out new pipelines. Desired Skills ⚙️ Python, SQL Tableau, Power BI Terraform, Bedrock AWS (DMS, Redshift, S3) Azure (Synapse, Microsoft AI) If you are a skilled Engineer (Python, SQL, Tableau, AWS, Azure) who is interested in this role then please apply below and I will More ❯
a Data & AI Architect to join their team and assist with the continued scaling and optimisation of these. Their ideal candidate would have good knowledge within: Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Consulting/Client Facing Experience In return they would be offering Uncapped Progressions (Just hit the criteria More ❯
Staines-upon-Thames, England, United Kingdom Hybrid / WFH Options
Pertemps
Azure SQL Tableau/Power BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik or similar are also useful and you will be tech curious, keen and open-minded to learning new skills. Experience in Oracle OBIEE and/or Oracle More ❯
Social network you want to login/join with: 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 products. Our relationship with our customers More ❯