126 to 150 of 181 Amazon S3 Jobs in London

working on public sector government projects. This role requires a comprehensive understanding of both front-end and back-end web development, with extensive experience in cloud technologies, specifically Amazon Web Services (AWS). The ideal candidate will be responsible for designing, building, and maintaining scalable, secure, and efficient applications on the AWS platform. Responsibilities Project Leadership: Lead smaller … s degree in Computer Science, Information Technology, or a related field; or equivalent experience. Professional experience as a full-stack developer. Extensive experience in AWS services such as EC2, S3, RDS, Lambda, and DynamoDB. Experience with back-end technologies like Node.js, Python, Java, or similar languages. Experience with containerization technologies, particularly Docker Proficient in deploying, managing, and scaling applications More ❯

Hightouch, RudderStack, etc.) Familiarity with data warehouse platforms like Snowflake, BigQuery, DataBricks, etc. Bonus If You: Experience with other types of data storage ranging cache tools like Redis to S3 Built systems integrating data from a variety of tools and reconciling user identities Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and More ❯

datasets What You’ll Bring: Proven Tableau expertise with a strong eye for design and user experience Solid experience in SQL, Snowflake, and DBT Familiarity with AWS services (Lambda, S3, Athena) An understanding of IT asset management is a plus Excellent communication skills across technical and non-technical audiences Please include a link to your Tableau Public profile or More ❯

datasets What You’ll Bring: Proven Tableau expertise with a strong eye for design and user experience Solid experience in SQL, Snowflake, and DBT Familiarity with AWS services (Lambda, S3, Athena) An understanding of IT asset management is a plus Excellent communication skills across technical and non-technical audiences Please include a link to your Tableau Public profile or More ❯

scale Data Engineering projects Strong experience in Python/PySpark, Databricks & Apache Spark Hands on experience with both batch & streaming pipelines Strong experience in AWS and associated tooling (Eg, S3, Glue, Redshift, Lambda, Terraform etc) Experience designing Data Engineering platforms from scratch Alongside their commitment to work-life balance the business also has an extremely competitive benefits package including More ❯

tools and techniques Knowledge of Accessibility testing for mobile applications Experience in working with API's and backend validations (Postman, REST Assured) Experience with Cloud tools such as AWS S3, CloudWatch and Browser Stack. Knowledge of Agile/Scrum Methodologies Excellent Problem-solving skills and attention to detail Strong Communication and Collaboration skills If you find this opportunity intriguing More ❯

with C++ is a plus Bonus++: Experience working with quants, data scientists, or in trading environments Tech Stack: Python 3.11+ (fast, modern, typed) Dask, pandas, PyArrow, NumPy PostgreSQL, Parquet, S3 Airflow, Docker, Kubernetes, GitLab CI Internal frameworks built for scale and speed Why Join: Engineers own projects end-to-end—from design to deployment to impact Work side-by More ❯

EMR services API Gateway Relational database experience with Aurora Postgres (including query performance tuning). Spark experience, including pipelines using Spark on data stored in iceberg table format in S3 and federated through Aurora Postgres. Proven experience with data modeling, medallion/lakehouse architectures, and financial domain familiarity. Ability to solve problems independently and deliver frameworks/solutions with More ❯

trends in cloud technology, media software, and post-production innovation. What You Bring Proven experience designing and delivering cloud workflows for professional media environments. Deep technical expertise with AWS (S3, EC2, EBS, Glacier, CloudFront, Elemental Media Services). Strong working knowledge of editing platforms such as Adobe Premiere Pro, Avid Media Composer, and DaVinci Resolve in cloud-based setups. More ❯

trends in cloud technology, media software, and post-production innovation. What You Bring Proven experience designing and delivering cloud workflows for professional media environments. Deep technical expertise with AWS (S3, EC2, EBS, Glacier, CloudFront, Elemental Media Services). Strong working knowledge of editing platforms such as Adobe Premiere Pro, Avid Media Composer, and DaVinci Resolve in cloud-based setups. More ❯

of fundamental concepts from probability, statistics, linear algebra and calculus Collaborative, humble and enthusiastic attitude Preferred qualifications, capabilities and skills Experience deploying on AWS cloud infrastructure using Lambda, Glue, S3 etc Experience in deep neural networks and familiarity with the latest developments in related fields Experience in LLM model finetuning and continuous learning techniques Experience in prompt engineering techniques More ❯

What You’ll Bring Proven experience in data engineering, with a strong track record building AWS cloud data pipelines and data warehouses. Solid understanding of AWS services such as S3 and Redshift, particularly around storage, computation and security. Familiarity with modern BI tools such as Power BI or AWS QuickSight. Experience with open-source data stack tools like Airflow More ❯

What You’ll Bring Proven experience in data engineering, with a strong track record building AWS cloud data pipelines and data warehouses. Solid understanding of AWS services such as S3 and Redshift, particularly around storage, computation and security. Familiarity with modern BI tools such as Power BI or AWS QuickSight. Experience with open-source data stack tools like Airflow More ❯

What You’ll Bring Proven experience in data engineering, with a strong track record building AWS cloud data pipelines and data warehouses. Solid understanding of AWS services such as S3 and Redshift, particularly around storage, computation and security. Familiarity with modern BI tools such as Power BI or AWS QuickSight. Experience with open-source data stack tools like Airflow More ❯

What You’ll Bring Proven experience in data engineering, with a strong track record building AWS cloud data pipelines and data warehouses. Solid understanding of AWS services such as S3 and Redshift, particularly around storage, computation and security. Familiarity with modern BI tools such as Power BI or AWS QuickSight. Experience with open-source data stack tools like Airflow More ❯

data-lakes for MFT and HFT quant teams, ingest vast amounts of data into the company, which can be used for quant research and model development. Stack: Python, AWS, S3, Airflow, SQL The role needs a talented data engineer who can build a scalable and bespoke data platform, but at the same time someone comfortable with communicating technical solutions More ❯

data-lakes for MFT and HFT quant teams, ingest vast amounts of data into the company, which can be used for quant research and model development. Stack: Python, AWS, S3, Airflow, SQL The role needs a talented data engineer who can build a scalable and bespoke data platform, but at the same time someone comfortable with communicating technical solutions More ❯

What You’ll Bring Proven background as a 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 confidently in More ❯

What You’ll Bring Proven background as a 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 confidently in More ❯

ML model deployment and production monitoring. • Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance. • Proficiency in AWS services (like S3, RedShift etc) • Experience with Grafana for monitoring and alerting. • Good to have hands-on experience with Domino Data Lab platform. • Solid understanding of CI/CD pipelines, version control More ❯

ML model deployment and production monitoring. • Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance. • Proficiency in AWS services (like S3, RedShift etc) • Experience with Grafana for monitoring and alerting. • Good to have hands-on experience with Domino Data Lab platform. • Solid understanding of CI/CD pipelines, version control More ❯

What You’ll Bring Proven background as a 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 confidently in More ❯

What You’ll Bring Proven background as a 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 confidently in More ❯

ML model deployment and production monitoring. • Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance. • Proficiency in AWS services (like S3, RedShift etc) • Experience with Grafana for monitoring and alerting. • Good to have hands-on experience with Domino Data Lab platform. • Solid understanding of CI/CD pipelines, version control More ❯

ML model deployment and production monitoring. • Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance. • Proficiency in AWS services (like S3, RedShift etc) • Experience with Grafana for monitoring and alerting. • Good to have hands-on experience with Domino Data Lab platform. • Solid understanding of CI/CD pipelines, version control More ❯