76 to 90 of 90 Remote AWS Lambda Jobs

maintained and available. Mentor data engineers and support their growth. Implement best practices for data security and compliance. Collaborate with stakeholders and external partners. Skills & Experience: Strong experience with AWS data technologies (e.g., S3, Redshift, Lambda). Proficient in Python, Apache Spark, and SQL. Experience in data warehouse design and data migration projects. Cloud data platform development and … deployment. Expertise across data warehouse and ETL/ELT development in AWS preferred Experience is building a Data Lake as well as building CI/CD data pipelines Excellent communication and problem-solving skills. What's on Offer: Salary to £65,000 + benefits Hybrid working model with a minimum of 2 days per week in our Leeds office. More ❯

adoption and data governance processes to enable confident data self-service. Support monitoring, testing, and validation efforts to maintain data quality and reliability. Work with cloud infrastructure services, mainly AWS (S3, Glue, Lambda), and use Python scripting for automation where needed. Help identify opportunities to improve data processes, scalability, and usability. What You Bring 2-4 years experience … e-commerce or digital product environments. Hands-on experience with SQL, with some exposure to Snowflake and dbt. Comfortable with Python scripting for automation and data workflows. Familiarity with AWS cloud services or other modern cloud platforms. Good communication skills with the ability to work effectively with both technical and non-technical teams. Some experience or willingness to work More ❯

matter expertise in data processing and reporting. In this role, you will own the reliability, performance, and operational excellence of our real-time and batch data pipelines built on AWS, Apache Flink, Kafka, and Python. You'll act as the first line of defense for data-related incidents , rapidly diagnose root causes, and implement resilient solutions that keep critical … as on-call escalation for data pipeline incidents, including real-time stream failures and batch job errors. Rapidly analyze logs, metrics, and trace data to pinpoint failure points across AWS, Flink, Kafka, and Python layers. Lead post-incident reviews: identify root causes, document findings, and drive corrective actions to closure. Reliability & Monitoring Design, implement, and maintain robust observability for … capacity planning, scaling policies, and disaster-recovery drills for stream and batch environments. Architecture & Automation Collaborate with data engineering and product teams to architect scalable, fault-tolerant pipelines using AWS services (e.g., Step Functions , EMR , Lambda , Redshift ) integrated with Apache Flink and Kafka . Troubleshoot & Maintain Python -based applications. Harden CI/CD for data jobs: implement automated More ❯

and collaborative development workflows. Good written and verbal communication; able to contribute to cross-functional discussions. Proven problem-solving and time management skills. Desirable: Familiarity with cloud services (e.g. AWS S3, Athena, Lambda). Basic understanding of data engineering or ML pipelines. Knowledge of distributed systems (e.g. Kafka). Interest in American sports or the betting industry. Some More ❯

and collaborative development workflows. Good written and verbal communication; able to contribute to cross-functional discussions. Proven problem-solving and time management skills. Desirable: Familiarity with cloud services (e.g. AWS S3, Athena, Lambda). Basic understanding of data engineering or ML pipelines. Knowledge of distributed systems (e.g. Kafka). Interest in American sports or the betting industry. Some More ❯

and collaborative development workflows. Good written and verbal communication; able to contribute to cross-functional discussions. Proven problem-solving and time management skills. Desirable: Familiarity with cloud services (e.g. AWS S3, Athena, Lambda). Basic understanding of data engineering or ML pipelines. Knowledge of distributed systems (e.g. Kafka). Interest in American sports or the betting industry. Some More ❯

and collaborative development workflows. Good written and verbal communication; able to contribute to cross-functional discussions. Proven problem-solving and time management skills. Desirable: Familiarity with cloud services (e.g. AWS S3, Athena, Lambda). Basic understanding of data engineering or ML pipelines. Knowledge of distributed systems (e.g. Kafka). Interest in American sports or the betting industry. Some More ❯

and collaborative development workflows. Good written and verbal communication; able to contribute to cross-functional discussions. Proven problem-solving and time management skills. Desirable: Familiarity with cloud services (e.g. AWS S3, Athena, Lambda). Basic understanding of data engineering or ML pipelines. Knowledge of distributed systems (e.g. Kafka). Interest in American sports or the betting industry. Some More ❯

models ⚡ Improve performance, scalability & cost efficiency ⚡ Lead migrations, recovery, best practice ⚡ Mentor & support teams on DynamoDB What you bring: ✅ Extensive hands-on DynamoDB ✅ NoSQL background (Mongo, Cassandra, Couchbase etc.) ✅ AWS SDK/CLI + services (Lambda, API Gateway, CloudWatch) ✅ Strong distributed systems knowledge ✅ Nice to Have AWS Certified Database Specialty DynamoDB Streams + Lambda integration DynamoDB More ❯

models ⚡ Improve performance, scalability & cost efficiency ⚡ Lead migrations, recovery, best practice ⚡ Mentor & support teams on DynamoDB What you bring: ✅ Extensive hands-on DynamoDB ✅ NoSQL background (Mongo, Cassandra, Couchbase etc.) ✅ AWS SDK/CLI + services (Lambda, API Gateway, CloudWatch) ✅ Strong distributed systems knowledge ✅ Nice to Have AWS Certified Database Specialty DynamoDB Streams + Lambda integration DynamoDB More ❯

models ⚡ Improve performance, scalability & cost efficiency ⚡ Lead migrations, recovery, best practice ⚡ Mentor & support teams on DynamoDB What you bring: ✅ Extensive hands-on DynamoDB ✅ NoSQL background (Mongo, Cassandra, Couchbase etc.) ✅ AWS SDK/CLI + services (Lambda, API Gateway, CloudWatch) ✅ Strong distributed systems knowledge ✅ Nice to Have AWS Certified Database Specialty DynamoDB Streams + Lambda integration DynamoDB More ❯

models ⚡ Improve performance, scalability & cost efficiency ⚡ Lead migrations, recovery, best practice ⚡ Mentor & support teams on DynamoDB What you bring: ✅ Extensive hands-on DynamoDB ✅ NoSQL background (Mongo, Cassandra, Couchbase etc.) ✅ AWS SDK/CLI + services (Lambda, API Gateway, CloudWatch) ✅ Strong distributed systems knowledge ✅ Nice to Have AWS Certified Database Specialty DynamoDB Streams + Lambda integration DynamoDB More ❯

models ⚡ Improve performance, scalability & cost efficiency ⚡ Lead migrations, recovery, best practice ⚡ Mentor & support teams on DynamoDB What you bring: ✅ Extensive hands-on DynamoDB ✅ NoSQL background (Mongo, Cassandra, Couchbase etc.) ✅ AWS SDK/CLI + services (Lambda, API Gateway, CloudWatch) ✅ Strong distributed systems knowledge ✅ Nice to Have AWS Certified Database Specialty DynamoDB Streams + Lambda integration DynamoDB More ❯

and cloud-based data solutions. What you'll be doing: Designing and maintaining scalable data pipelines Building and optimising data warehousing solutions Working with Databricks and modern cloud platforms (AWS) Collaborating with cross-functional teams to deliver high-impact data products Leading best practices in data engineering and pipeline architecture What we're looking for: Proven experience in data … engineering at a senior level Strong hands-on knowledge of Databricks Experience with AWS cloud platforms inlcuding S3, Redshift, Glue or Lambda Expertise in data warehousing and ETL processes Ability to work both independently and as part of a collaborative team Why join us? £60,000 salary Flexible hybrid working (2 days a week in our Leeds office More ❯

analysis and solution design experience with a focus on data projects You have experience of establishing data analytics and supporting AI solutions You have a good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions) You have advanced client and stakeholder management skills More ❯