26 to 47 of 47 AWS Data Engineer Jobs

Senior Data Engineer (Python, AWS)Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers … breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you'll have the opportunity to be on the … technologies Preferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL More ❯

Position Description: Looking for a self-motivated data engineer to join our team at CGI. Learn and implement new technology and advanced analytical tools in a cooperative encouraging environment. Looking for an individual who can work independently creating data flows, improving ingest times, troubleshooting … skills ETL tool experience Programming experience Data Modeling Experience interacting with clients, stakeholders, and executives. Experience in using cloud platforms such as AWS, Azure, and Google Cloud. Experience in communicating both written and verbally to clients and associates Desired qualifications/non-essential skills required: Azure Data Factory AWS Glue AWS Kinesis AWS Data Pipeline Data Governance Data Integration CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various More ❯

Job Title: AWS Data Engineer Location: UK Wide Travel Frequency: Hybrid (Need to travel on-site 2-3 days per week to any nearby Capgemini office) Working Pattern: Full-time Permanent The Job You're Considering The Cloud Data Platforms team is part … digital and data transformation journey using the modern cloud platforms. We specialise in using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP. Your role We are looking for strong AWS Data Engineers who are passionate about Cloud technology. Your work … sizing, configuration, and needs assessment. Work with clients, local teams and offshore resources to deliver modern data products and build relationships. Use AWS Data focused Reference Architecture, Design and build data service APIs. Analyse current business practices, processes and procedures and identify future More ❯

Lead AWS Data Engineer £95,000 - £105,000 pa + Benefits + Bonus Central London with Hybrid Working JNC are working closely with a growing financial services organisation in London that are looking to bring on a talented Lead Data Engineer that has strong python development skills as well as data focused AWS expertise. The Lead Engineer will provide technical leadership and mentoring for a team of 6 Data engineers. The team is responsible for developing and maintaining the clients data platform. The ideal candidate will have strong skills in Software Engineering as well as Data Engineering using AWS related technologies. If your skills and experience align with the role then APPLY NOW. Experience Required: Software Engineering skills with Python coding capabilities. Experience working with Data More ❯

AWS Data Engineer Location: Farmtington, CT/Richmond, VA (should be willing to work in any location) This is an Onsite position. Duration: 12 months Position type: W2 contract Key skills Needed: AWS (the dataset from the Cloud Engineer and Snowflake data … to excel in this role. Hands on Data Engineer that is really good with PowerBI and have experience working with AWS Data & Analytics Capabilities. Work with our business teams to rapidly build new datasets and dashboards. Responsibilities: They will be designing, developing, and … deploying a portfolio of Data & Analytics technology assets and platforms leveraging cloud-based tools and capabilities to capture, explore, transform, and deliver data. Additionally, they will analyze, document and develop solutions based on business needs and opportunities to deliver the intended outcomes in a timely manner. More ❯

Hybrid working pattern 2 days per week in the London office My client, a large global Insurance company, are seeking a talented AWS Data Engineer with Snowflake experience to join their growing data practice within the UK. As a key member of this … pivotal role in designing 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 … Extensive experience in AWS services, e.g. EC2, S3, RDS, DynamoDB, Redshift, Lambda, API Gateway Develop and optimize ETL processes using AWS services (e.g. AWS Glue, Lambda) to ensure efficient data ingestion, transformation, storage, and cost optimization. Strong SQL skills for complex data queries More ❯

Senior Data Engineer (Python, AWS, Kafka)Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers … Scala, Python Be part of a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets Work in a creative & collaborative environment driven by agile methodologies with … technologies Preferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years experience with Distributed data computing tools (Kafka, Spark, Flink) 2+ year experience working on real-time More ❯

Senior Data Engineer (Python, AWS, Python BDD Frameworks)Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big … group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you'll have the opportunity to … technologies Preferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL More ❯

Senior Data Engineer (Python, AWS, Python BDD Frameworks)Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big … group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you'll have the opportunity to … technologies Preferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL More ❯

Senior Data Engineer (Python, Spark, AWS)Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of … makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you'll have the opportunity to be on … technologies Preferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL More ❯

Senior Data Engineer (Python, Spark, AWS)Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of … makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you'll have the opportunity to be on … technologies Preferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL More ❯

Senior Data Engineer (Python, SQL, AWS) - Navigator Platform TechDo you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group … Scala, Python Be part of a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets Work in a creative & collaborative environment driven by agile methodologies with … technologies Preferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years experience with Distributed data computing tools (Kafka, Spark, Flink) 2+ year experience working on real-time More ❯

Contract Opportunity: Senior AWS Machine Learning Data Engineer Location: London | Duration: 6 Months (Extension Possible) | Start Date: ASAP Rate: Up to £600 a day (Inisde IR35) Are you a cloud-native data engineer with a passion for building intelligent systems? I … m looking for a Senior AWS Machine Learning Data Engineer to a cutting-edge team on a contract basis, working on high-impact ML solutions that scale. About the Role: In this role, you'll lead the design and implementation of data pipelines … domains — from predictive analytics to real-time personalization. ? What You'll Do: Architect and build scalable, secure, and maintainable data pipelines on AWS (Glue, Lambda, Step Functions, S3, Redshift, etc.) Operationalize machine learning models in production environments using SageMaker or custom deployment frameworks Automate and optimize ETL More ❯

Lead Data Engineer (Python, Spark, AWS)Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of … experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: 7+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with … a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo More ❯

Data Engineer. Up to £550 p/… day - "Outside IR35". 3 Months Initial - Hybrid (London). 3 Month initial contract opportunity for a Data Engineer, with AWS, Terraform, Python & Snowflake experience - ideally you will have experience with Aurora, Kinesis, Firehose & S3. What you'll be doing Working between your home office … building out data sources. What experience you'll need to apply for this role Data Engineer (Senior). AWS, Terraform, Python & Snowflake (Advanced-Expert). Aurora, Kinesis, Firehose & S3 (Desirable). What you'll get in return for your experience The daily rate More ❯

Key Responsibilities: Develop and maintain data pipelines using AWS services. Automate data ingestion and processing workflows. Collaborate with cross-functional teams to ensure robust data solutions. Monitor and optimize data pipeline performance. Ensure data quality and implement security best … practices. Integrate data from multiple sources for analytics. Implement data validation and error-handling processes. Write and maintain technical documentation for data workflows. Manage and configure cloud infrastructure related to data pipelines. Provide technical support and troubleshooting for data-related … Qualifications: 3+ years of experience in data engineering with AWS. Proficiency in Python, SQL, and big data tools. Experience with AWS services such as Lambda and EC2. Strong communication and teamwork skills. More ❯

data expert ready to lead and innovate? Do you have strong expertise in databases, SQL, MySQL, and Postgres? Are you experienced with AWS tools like Redshift and S3, alongside Google Analytics? Why This Role is Great This is a highly technical role, ideal for someone who thrives … role, you will: Work across multiple platforms, supporting both internal and external SaaS products. Lead the migration of legacy data systems to AWS, ensuring efficiency and scalability. Optimise databases, particularly SQL, MySQL, Postgres, and Redshift. Utilise AWS services (S3, Redshift) and Google Analytics to enhance data … expertise and execution. What will make you stand out? Strong expertise in SQL, MySQL, Postgres, with a deep understanding of databases. Experience working with AWS tools (Redshift, S3) and Google Analytics. Ability to migrate legacy data systems to AWS while optimising performance. Strong problem-solving skills More ❯

WeDo has partnered with a leading fintech scale-up that is looking to scale it's Data Engineering Practice. Who are they.......Imagine a finance app that’s like your smart, low-fee wingman—budgeting help, savings boosts, and no confusing lingo! It’s here to make managing money … Data Engineers! What skills you need...... Well versed working with Python Deep understanding of SQL Experienced in Spark and/OR PySpark. AWS Glue & Airflow experience is ideal for this position. Building, developing and maintaining robust data pipelines Good understand of working API's, databases … etc Deep cloud knowledge across the AWS ecosystem You are well versed in Data Warehousing, Data Modelling, SQL (Redshift, PostgreSQL) Any experience with Snowflake is desirable. Your character You are meticulous with your attention to detail - going right into the granular! Have great interpersonal skills More ❯

challenges, and making a real difference every day. Why This Role is Perfect for You: • Learn and Grow: Get stuck into using the latest AWS tools like Redshift, S3, and Kafka. You will be designing data models and building ETL pipelines, which means you are always learning … and adding valuable skills to your toolkit. • Make a Real Impact: Your work will not just be about crunching numbers. By turning raw data into clear insights, you will help shape decisions that drive the business forward. It is a great feeling to know that what you do … fantastic boost to your career. • Exciting, Varied Work: Every day brings something new. Whether you are creating engaging dashboards with Tableau or integrating data from different sources via APIs, you will always have fresh challenges that keep your work interesting. • A Supportive Environment: Work in a team that More ❯

challenges, and making a real difference every day. Why This Role is Perfect for You: • Learn and Grow: Get stuck into using the latest AWS tools like Redshift, S3, and Kafka. You will be designing data models and building ETL pipelines, which means you are always learning … and adding valuable skills to your toolkit. • Make a Real Impact: Your work will not just be about crunching numbers. By turning raw data into clear insights, you will help shape decisions that drive the business forward. It is a great feeling to know that what you do … fantastic boost to your career. • Exciting, Varied Work: Every day brings something new. Whether you are creating engaging dashboards with Tableau or integrating data from different sources via APIs, you will always have fresh challenges that keep your work interesting. • A Supportive Environment: Work in a team that More ❯

challenges, and making a real difference every day. Why This Role is Perfect for You: • Learn and Grow: Get stuck into using the latest AWS tools like Redshift, S3, and Kafka. You will be designing data models and building ETL pipelines, which means you are always learning … and adding valuable skills to your toolkit. • Make a Real Impact: Your work will not just be about crunching numbers. By turning raw data into clear insights, you will help shape decisions that drive the business forward. It is a great feeling to know that what you do … fantastic boost to your career. • Exciting, Varied Work: Every day brings something new. Whether you are creating engaging dashboards with Tableau or integrating data from different sources via APIs, you will always have fresh challenges that keep your work interesting. • A Supportive Environment: Work in a team that More ❯

challenges, and making a real difference every day. Why This Role is Perfect for You: • Learn and Grow: Get stuck into using the latest AWS tools like Redshift, S3, and Kafka. You will be designing data models and building ETL pipelines, which means you are always learning … and adding valuable skills to your toolkit. • Make a Real Impact: Your work will not just be about crunching numbers. By turning raw data into clear insights, you will help shape decisions that drive the business forward. It is a great feeling to know that what you do … fantastic boost to your career. • Exciting, Varied Work: Every day brings something new. Whether you are creating engaging dashboards with Tableau or integrating data from different sources via APIs, you will always have fresh challenges that keep your work interesting. • A Supportive Environment: Work in a team that More ❯