London, England, United Kingdom Hybrid / WFH Options
Jobleads-UK
Continuous Delivery Continuous integration pipelines Strong Python AWS or Azure with large-scale streaming data (Pulsar, Kafka, Kinesis, etc) ETL management; structured or custom (Airflow, Luigi, etc) Bonus Robust experience managing and developing an engineering team Delta lake or Iceberg Trino or Presto Graphql Good salary, bonus, stock options more »
building APIs & SQLAlchmy for database interactions. Strong experience in cloud-based development (AWS). Proficiency with both Docker & Kubernetes for containerisation & orchestration. Understanding or Airflow & DAGs. Experience in building applications using Kafka. Solid OOP principles & design patterns. Permanent/Full-Time Employment. Hybrid working environment (2/3 days more »
London, England, United Kingdom Hybrid / WFH Options
Harnham
Lead Machine Learning Engineer up to £105 000 London NEW Machine Learning Engineer Opportunity Available with a Leading Organisation! The Company: Are you an expert in Machine Learning? We are on the lookout for a Machine Learning Engineer to join more »
converting SAS-based modules to Python-based solutions. Strong understanding of data management principles and experience working with Snowflake. Proficiency in Python, DBT, and Airflow or similar technologies. Excellent problem-solving skills and ability to troubleshoot complex issues. Experience working in an Agile environment and collaborating with cross-functional more »
of frameworks like DropWizard. Lakehouse Architectures: Familiarity with modern data technologies such as Dremio, Snowflake, Iceberg, (Py)Spark/Glue/EMR, dbt, and Airflow/Dagster. AWS Services: Hands-on experience with AWS, especially S3, ECS, and EC2/Fargate. Collaborative Approach: Proven ability to work effectively with more »
schemas to support business requirements Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. Working collaboratively with the client …/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving more »
have Terraform experience SQL & NoSQL experience Have built out Data Warehouses & built Data Pipelines Strong Databricks & Snowflake experience Docker, ECS, Kubernetes & Orchestration tools like Airflow or Step Functions are nice to have Contracts are running for 6 months initially, paying up to £450p/day (Outside IR35) and will more »
processing and analytics Desired experience: Worked with Python 3.9+ Familiar with Python test automation Experience with SQL and Timeseries databases Familiar with Parquet, Arrow, Airflow, Databricks Experience with cloud AWS services, such as S3, EC2, RDS etc Quality engineering best practice and tooling including TDD, BDD This is an more »
financial services or energy trading industry Expertise in Python and its ecosystem of libraries and frameworks for data processing, data analysis and data visualisation Airflow, detailed understanding of architecture including schedulers, executers, operators Cloud Environments, understanding of principles, technologies and services for AWS/Azure Kubernetes EKS/AKS … including high availability Desired experience: Worked with Python 3.9+ Familiar with Python test automation Experience with SQL and Timeseries databases Familiar with Parquet, Arrow, Airflow, Databricks Experience with cloud AWS services, such as S3, EC2, RDS etc Quality engineering best practice and tooling including TDD, BDD This is an more »
Azure SQL Data Warehouse, or Amazon Redshift Support and learn the associated scheduling logic for data pipelines using scheduling tool such as Autosys or Airflow Read and translate logical data models and use ETL skills to load the physical layer, based on an understanding of timing of data loads more »
testing, and maintenance of data pipelines and data storage systems on Google Cloud Platform (GCP). You will be working with technologies such as ApacheAirflow, BigQuery, Python, and SQL to transform and load large data sets, ensuring high data quality and accessibility for business intelligence and analytics more »
load data to Snowflake. Converting SAS based module to python based Candidates who have data management experience in Snowflake with expertise in Python, DBT, Airflow or similar technologies Must have hands on experience in DBT & SQL Snowflake (added advantage more »
Greater London, England, United Kingdom Hybrid / WFH Options
Cera
an autonomous environment. 5+ years SQL experience developing data pipelines in a cloud based database environment (e.g.BigQuery), including scheduling your own queries (e.g. using Airflow or Stitch) 3+ years experience delivering data products in a modern BI technology (ideally Looker) or open source data frameworks Experience managing end-to more »
City Of London, England, United Kingdom Hybrid / WFH Options
Cititec Talent
a leading commodities trading firm. Outside of IR35 Hybrid working - 2/3 days in London office Experience Required: - Commodities industry experience Weather forecasting Airflow (or equivalent data orchestration platforms) Data Modeling (Star Schema) Data Warehousing Data Pipeline Orchestration (Kafka) On-Prem SQL more »
processes, effective monitoring, and infrastructure-as-code using Terraform. Collaborate closely with our engineering teams to support the orchestration of our ETL pipelines using Airflow and manage our tech stack including Python, Next.js, Airflow, PostgreSQL MongoDB, Kafka and Apache Iceberg. Optimize infrastructure costs and develop strategies for more »
Job Title: Software Engineer (Data/Airflow) Client: Elite FinTech Firm Salary: Up to £130k + Bonus Location: London (Hybrid) Sells: Cutting-edge tech, ownership of multiple greenfield projects, no red tape, a friendly/collaborative environment, beautiful offices, personal projects on Fridays! An Elite FinTech Firm is looking … They are fully open to experience level and will find good fits for the best people Strong experience with Python or Rust Experience with Airflow Exposure to building ETL pipelines is a huge plus A desire to learn Rust Solid SQL knowledge Fantastic education Experience working in mission critical more »
Machine Learning Engineer up to £75 000 London NEW Machine Learning Engineer Opportunity Available with a Leading Organisation! The Company: Are you an expert in Machine Learning? We are on the lookout for a Machine Learning Engineer to join an more »
or warehouse. Data Pipeline Development: Design and construct data pipelines to automate data flow, involving ETL processes as needed. Modern tech stack - Python, AWS, Airflow and DBT Must haves: A team player, happy to work with several teams, this is key as you will be reporting directly to the more »
Greater London, England, United Kingdom Hybrid / WFH Options
Agora Talent
early-stage B2B SaaS experience involving client-facing projects • Experience in front-end development and competency in JavaScript • Knowledge of API development • Familiarity with Airflow, DBT, Databricks • Experience working with Enterprise Resource Planning (e.g. Oracle, SAP) and CRM systems. If this role sounds of interest, please apply using the more »
a leading commodities trading firm. Outside of IR35 Hybrid working - 2/3 days in London office Experience Required: - Commodities industry experience Weather forecasting Airflow (or equivalent data orchestration platforms) Data Modeling (Star Schema) Data Warehousing Data Pipeline Orchestration (Kafka) On-Prem SQL more »
Job Title: Data Engineer Job Type: Full Time, Permanent Working location: London, Hybrid Role Purpose At Travelex we are developing modern data services, which will be at the heart of our relationship with our customers. Our data architecture is becoming more »
