with. Skills & Experience Required: Technical Skills • Min of 2 years of experience in data engineering or a similar role. • Hands-on experience with core AWS data services (for example S3, Glue, Athena, Lambda, IAM, EMR). • Strong SQL skills (joins, window functions, optimization). • Solid Python for data processing. • Experience building production ETL/ELT pipelines. • Working knowledge of More ❯
Shipley, West Yorkshire, Yorkshire, United Kingdom Hybrid/Remote Options
BIOMETRIC TALENT
working closely with both technical and non-technical colleagues. Youll bring: Strong hands-on experience with React and TypeScript. Experience developing backend solutions using AWS serverless technologies (Lambda, DynamoDB, S3, SQS). A desire to learn new technologies - particularly Rust, which is becoming an increasingly important part of the stack (no prior experience required). Good communication skills and More ❯
Manchester, Lancashire, England, United Kingdom Hybrid/Remote Options
Lorien
the platform, experience in similar environments is essential. The Skill Requirements: We're looking for candidates with a blend of the following: Strong knowledge of AWS data services (Glue, S3, Lambda, Redshift, etc.) Solid understanding of ETL processes and data pipeline management Proficiency in Python and PySpark Experience working with SQL-based platforms Previous involvement in migrating on-premise More ❯
balance strong technical capability with excellent communication and stakeholder engagement. Youll bring: Solid hands-on experience in modern software engineering using React, TypeScript and AWS serverless technologies (Lambda, DynamoDB, S3, SQS). A willingness to learn new technologies - particularly Rust, which is increasingly central to the stack (no prior Rust experience needed). Experience working across the full lifecycle More ❯
Shipley, West Yorkshire, Yorkshire, United Kingdom Hybrid/Remote Options
BIOMETRIC TALENT
balance strong technical capability with excellent communication and stakeholder engagement. Youll bring: Solid hands-on experience in modern software engineering using React, TypeScript and AWS serverless technologies (Lambda, DynamoDB, S3, SQS). A willingness to learn new technologies - particularly Rust, which is increasingly central to the stack (no prior Rust experience needed). Experience working across the full lifecycle More ❯
AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform … DevOps: Proven experience with AWS cloud services relevant to data science – particularly Amazon SageMaker for model development and deployment. Familiarity with data storage and processing on AWS (S3, AWS Lambda, Athena/Redshift, etc.) is expected. Strong knowledge of DevOps/MLOps practices – candidates should have built or worked with CI/CD pipelines for ML, using More ❯
AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform … DevOps: Proven experience with AWS cloud services relevant to data science – particularly Amazon SageMaker for model development and deployment. Familiarity with data storage and processing on AWS (S3, AWS Lambda, Athena/Redshift, etc.) is expected. Strong knowledge of DevOps/MLOps practices – candidates should have built or worked with CI/CD pipelines for ML, using More ❯
AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform … DevOps: Proven experience with AWS cloud services relevant to data science – particularly Amazon SageMaker for model development and deployment. Familiarity with data storage and processing on AWS (S3, AWS Lambda, Athena/Redshift, etc.) is expected. Strong knowledge of DevOps/MLOps practices – candidates should have built or worked with CI/CD pipelines for ML, using More ❯
AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform … DevOps: Proven experience with AWS cloud services relevant to data science – particularly Amazon SageMaker for model development and deployment. Familiarity with data storage and processing on AWS (S3, AWS Lambda, Athena/Redshift, etc.) is expected. Strong knowledge of DevOps/MLOps practices – candidates should have built or worked with CI/CD pipelines for ML, using More ❯
AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform … DevOps: Proven experience with AWS cloud services relevant to data science – particularly Amazon SageMaker for model development and deployment. Familiarity with data storage and processing on AWS (S3, AWS Lambda, Athena/Redshift, etc.) is expected. Strong knowledge of DevOps/MLOps practices – candidates should have built or worked with CI/CD pipelines for ML, using More ❯
AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform … DevOps: Proven experience with AWS cloud services relevant to data science – particularly Amazon SageMaker for model development and deployment. Familiarity with data storage and processing on AWS (S3, AWS Lambda, Athena/Redshift, etc.) is expected. Strong knowledge of DevOps/MLOps practices – candidates should have built or worked with CI/CD pipelines for ML, using More ❯
Doncaster, South Yorkshire, UK Hybrid/Remote Options
Williams Lea
AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform … DevOps: Proven experience with AWS cloud services relevant to data science – particularly Amazon SageMaker for model development and deployment. Familiarity with data storage and processing on AWS (S3, AWS Lambda, Athena/Redshift, etc.) is expected. Strong knowledge of DevOps/MLOps practices – candidates should have built or worked with CI/CD pipelines for ML, using More ❯
AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform … DevOps: Proven experience with AWS cloud services relevant to data science – particularly Amazon SageMaker for model development and deployment. Familiarity with data storage and processing on AWS (S3, AWS Lambda, Athena/Redshift, etc.) is expected. Strong knowledge of DevOps/MLOps practices – candidates should have built or worked with CI/CD pipelines for ML, using More ❯
Bolton, Greater Manchester, UK Hybrid/Remote Options
Williams Lea
AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform … DevOps: Proven experience with AWS cloud services relevant to data science – particularly Amazon SageMaker for model development and deployment. Familiarity with data storage and processing on AWS (S3, AWS Lambda, Athena/Redshift, etc.) is expected. Strong knowledge of DevOps/MLOps practices – candidates should have built or worked with CI/CD pipelines for ML, using More ❯
Wakefield, West Yorkshire, UK Hybrid/Remote Options
Williams Lea
AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform … DevOps: Proven experience with AWS cloud services relevant to data science – particularly Amazon SageMaker for model development and deployment. Familiarity with data storage and processing on AWS (S3, AWS Lambda, Athena/Redshift, etc.) is expected. Strong knowledge of DevOps/MLOps practices – candidates should have built or worked with CI/CD pipelines for ML, using More ❯
Stockport, Greater Manchester, UK Hybrid/Remote Options
Williams Lea
AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform … DevOps: Proven experience with AWS cloud services relevant to data science – particularly Amazon SageMaker for model development and deployment. Familiarity with data storage and processing on AWS (S3, AWS Lambda, Athena/Redshift, etc.) is expected. Strong knowledge of DevOps/MLOps practices – candidates should have built or worked with CI/CD pipelines for ML, using More ❯
AI systems to address complex business challenges across a range of sectors Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform … DevOps: Proven experience with AWS cloud services relevant to data science – particularly Amazon SageMaker for model development and deployment. Familiarity with data storage and processing on AWS (S3, AWS Lambda, Athena/Redshift, etc.) is expected. Strong knowledge of DevOps/MLOps practices – candidates should have built or worked with CI/CD pipelines for ML, using More ❯
Strong background in fast-paced, lean, Agile/DevOps environments Broad architectural understanding across enterprise, networks, data, and security domains Experience working across both AWS and Azure cloud environments (S3, Redshift, Athena, Glue, MSK, Entra ID, Azure SQL, Data Factory, Integration Services) Strong integration and API expertise (including REST) Proven ability to produce detailed high-level and low-level More ❯
Strong background in fast-paced, lean, Agile/DevOps environments Broad architectural understanding across enterprise, networks, data, and security domains Experience working across both AWS and Azure cloud environments (S3, Redshift, Athena, Glue, MSK, Entra ID, Azure SQL, Data Factory, Integration Services) Strong integration and API expertise (including REST) Proven ability to produce detailed high-level and low-level More ❯
background in fast-paced, lean, Agile/DevOps environments Broad architectural understanding across enterprise, networks, data, and security domains Experience working across both AWS and Azure cloud environments (e.g., S3, Redshift, Athena, Glue, MSK, Entra ID, Azure SQL, Data Factory, Integration Services) Strong integration and API expertise (including REST) Proven ability to produce detailed high-level and low-level More ❯
suppliers, consultants. Knowledge and Skills: Knowledge - Broad data management technical knowledge so as to be able to work across full data cycle. - Proven Experience working with AWS data technologies (S3, Redshift, Glue, Lambda, Lake formation, Cloud Formation), GitHub, CI/CD - Coding experience in Apache Spark, Iceberg or Python (Pandas) - Experience in change and release management. - Experience in Database … Essentials: - Expertise across data warehouse and ETL/ELT development in AWS preferred with experience in the following: - Strong experience in some of the AWS services like Redshift, Lambda,S3,Step Functions, Batch, Cloud formation, Lake Formation, Code Build, CI/CD, GitHub, IAM, SQS, SNS, Aurora DB - Good experience with DBT, Apache Iceberg, Docker, Microsoft BI stack (nice More ❯
on-site attendance during discovery or cutover weekends. Key Responsibilities : Lead data migration from legacy SAN/NAS arrays (EMC, NetApp, IBM, HPE etc.) to AWS storage services (EBS, S3, FSx). Develop strategies for transferring very large datasets (including replication, delta syncs, snapshots, or Snowball). Deliver migration cutovers during weekend/outage windows and ensure data integrity More ❯
Bolton, Greater Manchester, UK Hybrid/Remote Options
3Roc Technology
on-site attendance during discovery or cutover weekends. Key Responsibilities : Lead data migration from legacy SAN/NAS arrays (EMC, NetApp, IBM, HPE etc.) to AWS storage services (EBS, S3, FSx). Develop strategies for transferring very large datasets (including replication, delta syncs, snapshots, or Snowball). Deliver migration cutovers during weekend/outage windows and ensure data integrity More ❯
