required: Python SQL Kubernetes CI/CD experience with relevant tooling with Jenkins, Docker or Terraform Cloud services experience with AWS/Azure Ideally: Airflow Java Experience working with front office trading systems and financial market data For more information on this role or any other contract/permanent more »
development, testing, and ensuring operational stability. Proficient in all stages of the Software Development Life Cycle. Familiarity with AWS, including orchestration tools such as Airflow, and practical experience with reporting frameworks. Contract Details: Duration: 6 months Location: South of EnglandWFH Day Rate: Up to £460 Per Day (Inside IR35 more »
or Angular good but not necessary) Agile The following is DESIRABLE, not essential: AWS or GCP Buy-side Data tools such as Glue, Athena, Airflow, Ignite, DBT, Arrow, Iceberg, Dremio Fixed Income performance, risk or attribution TypeScript and Node Role: Python Developer (Software Engineer Programmer Developer Python Fixed Income … work is largely down to you. It can be entirely Back End. Otherwise, the stack includes Redux Saga, Ag-Grid, Node, TypeScript, gRPC, protobuf, Apache Ignite, ApacheAirflow and AWS. As the application suite grows and advances in complexity, there is a decent amount of interaction with … the office 1-2 times a week. The tech environment is very new and will soon likely include exposure to the following: Glue, Athena, Airflow, Ignite, DBT, Arrow, Iceberg, Dremio This is an environment that has been described as the only corporate environment with a start-up/fintech more »
there is little work to do here. Experience is data-intensive applications is desirable here. Other technology in the stack includes Node, gRPC, protobuf, Apache Ignite, ApacheAirflow and AWS. They have a hybrid-working set up that requires the team to be in the office more »
in: Data Warehousing Data Engineering, overall Data Analytics Data Visualisation Proficiency in: Google Cloud (GCP) GCP BigQuery Python DBT or similar FastAPI or similar Airflow or similar Desirable: Google Apigee (as an application developer) Exposure to Machine Learning projects Exposure to DataOps Exposure to dataproc or similar more »
Greater London, England, United Kingdom Hybrid / WFH Options
CommuniTech Recruitment Group
AWS ecosystems like Lambdas, step functions and ECS services. Experience of Dremio is a nice to have Experience with data stack technologies, such as Apache Iceberg & Spark. Exposure to ApacheAirflow, Prefect, Dagster, DBT. Expertise in data analysis with exposure to data services (such as Glue, Lake more »
designing and building robust, scalable, distributed data systems and pipelines, using open source and public cloud technologies. Strong experience with data orchestration tools: e.g. ApacheAirflow, Dagster. Experience with big data storage and processing technologies: e.g. DBT, Spark, SQL, Athena/Trino, Redshift, Snowflake, RDBMSs (PostgreSQL/MySQL … . Knowledge of event-driven architectures and streaming technologies: e.g. Apache Kafka, Kafka Streams, Apache Flink. Experience with public cloud environments: e.g. AWS, GCP, Azure, Terraform. Strong knowledge of software engineering practices: e.g. testing, CI/CD (Jenkins, Github Actions), agile development, git/version control, containers etc. more »
step functions and ECS services. Strong understanding of AWS ecosystems like Lambdas, step functions and ECS services. Experience with data stack technologies, such as Apache Iceberg & Spark. Exposure to ApacheAirflow, Prefect, Dagster, DBT. Expertise in data analysis with exposure to data services (such as Glue, Lake more »
step functions and ECS services. Strong understanding of AWS ecosystems like Lambdas, step functions and ECS services. Experience with data stack technologies, such as Apache Iceberg & Spark. Exposure to ApacheAirflow, Prefect, Dagster, DBT. Expertise in data analysis with exposure to data services (such as Glue, Lake more »
Maven, Jenkins, GitHub, etc. Experience with Amazon Web Services a strong plus - CloudFormation, EMR, S3, EC2, Athena etc. Experience with scheduling services such as Airflow, Oozie. Experience with Data ETL and data modeling Experience with building large-scale systems with extensive knowledge in data warehousing solutions. Developing prototypes and more »
pipelines Know your way around Unix based operating system Experience working with any major cloud provider (AWS, GCP, Azure) Fluency in English Experience using ApacheAirflow Experience using Docker Experience using Apache Spark Benefits: Salary £40-50K per annum dependant on skills and experience 25 Days 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 »
analysis, and software design Travel up to 10% What Will Help You On The Job Familiarity with running software services at scale AWS Infrastructure, Airflow, Kafka and data streaming using Spark/Scala Understanding of networking fundamentals (OSI layers 2-7) Technical and software engineering background in the areas 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 »
Experience using cloud technologies such as EMR, Lambda, EC2, and data pipelines. Experience leading data warehousing and analytics projects, including using technologies such as Airflow, Jenkins, Snowflake, and Kinesis. Experience with Agile, DevOps, and CICD frameworks in cloud-based environments. Exposure to at least one dashboarding tool like Tableau more »
Greater London, England, United Kingdom Hybrid / WFH Options
Validis
to leverage CI/CD tools to streamline data pipeline development and deployment. Proven expertise in designing and implementing ETL pipelines using tools like ApacheAirflow, Luigi, Spark, or similar frameworks. Strong understanding of data warehousing concepts and data modelling techniques. Experience with SQL and proficiency in writing 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 »
