london, south east england, united kingdom Hybrid / WFH Options
W Talent
scalable AWS data solutions while mentoring junior engineers. Key Responsibilities: Lead the development and implementation of AWS data components, including Firehose, Glue, Lambda, Athena, Redshift, and Quicksight. Support junior engineers through technical guidance, mentoring, and task leadership. Collaborate with cloud architects to evolve our MVP data platform toward a More ❯
and BDM, AutoSys, Airflow, and SQL Server Agent. Experience with cloud platforms preferably AWS. Strong knowledge of AWS cloud services, including EMR, RDS Postgres, Redshift Athena, S3, and IAM. Solid understanding of data warehousing principles and best practices. Strong proficiency in SQL for data manipulation, reporting, and optimization. Knowledge More ❯
understanding Test driven development experience Cloud and modern development experience Experience building micro-views/mini-apps would be welcome AWS experience (E.g. S3, Redshift, Glue, Lambda) nice to have, willingness to learn - essential Bachelor's degree in computer science or related subject AWS certifications are a plus Prior More ❯
this role if you have the following skills: Proficient in higher-level languages (Go, Kotlin, Java, Rust) and AWS Services (CloudWatch, IAM, EC2, S3, Redshift) Previous experience in software development and building event-driven architecture systems AWS Certified Solutions Architect or Developer with knowledge in DevSecOps tools (Maven, Jenkins More ❯
identify future opportunities for leveraging AWS services and implement effective metrics and monitoring processes. Your Skills and Experience Experience of AWS tools (e.g. Athena, Redshift, Glue, EMR), Java, Scala, Python, Spark. Experience of developing enterprise grade ETL/ELT data pipelines and demonstrable knowledge of applying Data Engineering best More ❯
experience in designing and implementing scalable and efficient data management platforms for bioinformatics data. Demonstrated expertise with AWS services such as S3, EC2, RDS, RedShift, Athena. Expert knowledge of bioinformatics data, including omics data types and formats. Proficiency in programming languages such as Python, Java, or R, and extensive More ❯
Amazon Selection and Catalog Systems (ASCS) builds the systems that host and run the world's largest e-Commerce products catalog. We power the online buying experience for customers worldwide so they can find, discover, and buy anything they want. Our massively scaled out distributed systems process hundreds of … decision making. Leading reporting and analytics initiatives to drive data-informed decision making. Designing, developing, and maintaining ETL processes and data visualization dashboards using Amazon QuickSight. Transforming complex business requirements into actionable analytics solutions. About the team This central BIE team within ASCS will be responsible for building a … quality controls and real-time monitoring will ensure consistent data quality across the organization. BASIC QUALIFICATIONS - 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t More ❯
a day in a scalable fashion using AWS technologies? Do you want to create the next-generation tools for intuitive data access? If so, Amazon Finance Technology (FinTech) is for you! Amazon's Financial Technology team is looking for a passionate, results-oriented, inventive Data Engineers who can … environment, understands how to deal with large sets of data and transactions and will help us deliver on a new generation of software, leveraging Amazon Web Services. The candidate is passionate about technology and wants to be involved with real business problems. Our platform serves Amazon's finance … Key job responsibilities We are looking for an experienced Data Engineer to join the FinTech Tax teams that builds and operate technology for supporting Amazon's tax compliance and audits needs worldwide. Our teams are responsible for building a big-data platform to stream billions of transactions a day More ❯
Apache Beam, Cloud Data Fusion, Talend) and data pipeline automation a plus. Preferred Qualifications: Background and experience with other cloud data warehousing solutions (e.g., AmazonRedshift, Snowflake). Google Cloud certification (e.g., Professional Cloud Database Engineer, Professional Data Engineer). Application migration experience to BigQuery and other GCP More ❯
Secret clearance • Strong DB background. Proficiency in data modeling, SQL, and ETL processes. • Strong scripting skills and is familiar with data warehousing solutions (e.g., AmazonRedshift, Google BigQuery, Azure). • Experience with big data and open source technologies (e.g., Hadoop, Spark) is a plus. • SSCP or CCISO or More ❯
scripting for automation and configuration. Experience working with Kubernetes (k8s). Knowledge of data and analytical products like Immuta, Apache Ranger, Collibra, Snowflake, PostgreSQL, Redshift, Hive, Iceberg, dbt, AWS Lambda, AWS Glue, and Power BI. Familiarity with cloud environments such as AWS. Knowledge of additional scripting languages or tools More ❯
5+ years with cloud-based data platforms (AWS, Azure, Google Cloud) 2+ years leading and mentoring data engineering teams Experience with AWS services (S3, Redshift, Glue, Lake Formation, Lambda) Developing and maintaining ETL pipelines Implementing data governance frameworks Preferred Experience: Experience with FBI or DOJ systems Criminal justice information More ❯
Proficiency in AI/ML security and automation. Experience with data science and analytics in Databricks, Synapse Analytics, and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks, PowerBI) and the Python data science ecosystem (Jupyter, Pandas, Numpy, Matplotlib). Plusses: Financial services background More ❯
Proficiency in AI/ML security and automation. Experience with data science and analytics in Databricks, Synapse Analytics, and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks, PowerBI) and the Python data science ecosystem (Jupyter, Pandas, Numpy, Matplotlib). Plusses: Financial services background More ❯
What We’re Looking For 4+ years of experience in Python development (Flask, Django). Strong expertise in AWS cloud environments (EC2, S3, RDS, Redshift, Athena). Experience with SQL databases (PostgreSQL, SQLAlchemy). Knowledge of ETL pipelines, API development, and front-end technologies (HTML, CSS). Experience with More ❯
Employment Type: Permanent
Salary: £55000 - £75000/annum + Hybrid Working & Benefits
Proficiency in AI/ML security and automation. Experience with data science and analytics in Databricks, Synapse Analytics, and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks, PowerBI) and the Python data science ecosystem (Jupyter, Pandas, Numpy, Matplotlib). Plusses: Financial services background More ❯
Proficiency in AI/ML security and automation. Experience with data science and analytics in Databricks, Synapse Analytics, and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks, PowerBI) and the Python data science ecosystem (Jupyter, Pandas, Numpy, Matplotlib). Plusses: Financial services background More ❯
ML integrations) to continuously evolve the data platform Requirements 8+ years in data engineering/architecture roles 4+ years with AWS DWH services, S3, Redshift, Glue, etc. Deep experience with Databricks Strong SQL + one language: Python/Java/Scala Proven experience designing DWH, data lakes, and pipelines More ❯
Leeds, Yorkshire, United Kingdom Hybrid / WFH Options
HyperFinity
related role Excellent SQL skills Good understanding of relational and analytical database architectures and methodologies Experience of cloud data warehousing solutions e.g. Snowflake, BigQuery, Redshift Good hands-on experience with at least one Business Intelligence platform Strong analytical and problem-solving skills Excellent communication skills, with the ability to More ❯
But Not Required) : • Experience with data pipeline tools like Apache Airflow, DBT, or Kafka • Knowledge of cloud data services (AWS S3/Glue/Redshift, GCP BigQuery, Azure Data Factory) • Exposure to Spark, Hadoop, or other big data frameworks • Personal or academic data engineering projects ⸻ 🎁 Perks & Benefits More ❯
are an expert on Python. You have experience with dbt. You have experience building dashboards in Looker and/or Tableau. Experience with AWS Redshift and/or other cloud data warehouses (Snowflake, BigQuery). Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences More ❯
Python • Experience with backend frameworks such as Java/Spring • Strong knowledge of cloud-native databases and data stores (e.g., MongoDB, DynamoDB, PostgreSQL, S3, Redshift, Redis, Elasticsearch) • Familiarity with RESTful APIs, HTTP, JSON, XML, and web services • Experience with DevOps tools: Git/GitLab, Jenkins, Maven, SonarQube, Ansible, Chef More ❯
data tools: Hadoop, Spark, etc. Experience with relational SQL and NoSQL databases, including Postgres Experience with AWS cloud or remote services: EC2, EMR, RDS, Redshift Experience with stream-processing systems: Kafka, Storm, Spark-Streaming, etc. Experience with object-oriented/object function scripting languages: Python, Julia, Java, C++, Scala More ❯
Octopus Deploy Experience working with and tuning Microservices at scale, with production workloads Experience managing relational and non-relational databases, for example, RDS MySQL, RedShift Familiarity with any of the following logging, monitoring and alerting tools - CloudWatch, Splunk, StatusCake, Grafana, PagerDuty Scripting experience with PowerShell, Ruby, Python Experience working More ❯