Software Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Apache Iceburg Arrow DBT gRPC protobuf Snowflake TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by … led small teams on the delivery of projects AWS Glue Dremio Agile The following is DESIRABLE, not essential: Snowflake Spark, Airflow, Apache Iceberg, Arrow, DBT Trading, Front Office finance Some appreciation of asset classes such as Fixed Income, equities, FX or commodities Role: Python Software Engineer Team Lead (Architecture Programmer … Engineer Data Enterprise Engineering Developer Programmer AWS GCP Python Athena Glue Airflow Ignite JavaScript Agile Pandas NumPy SciPy Spark Dremio Snowflake Apache Iceburg Arrow DBT gRPC protobuf TypeScript Manager Finance Trading Front Office Investment Banking Asset Manager Financial Services FX Fixed Income Equities Commodities Derivatives Hedge Fund) required by my more »
help them further grow their already exciting business. Within this role, you will be responsible for Maintaining, supporting and expanding existing data pipelines using DBT, Snowflake and S3. You will also be tasked with implementing standardised data ingress/egress pipelines coupled with onboarding new, disparate data sets, sourced from more »
for the entire organisation and proper data governance. Utilise and improve our current AWS-based data platform. Work with our tech stack, which includes dbt/DuckDB for transformation, Kafka/RabbitMQ as a streaming platform, Deltalake as a data format, Dagster for managing data assets, and Terraform, Kubernetes, and more »
good grasp 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 more »
Python Data Engineer (Software Engineer Programmer Developer Data Engineer Python PySpark Spark Glue Athena Iceberg Airflow Dagster DBT Java Agile AWS GCP Buy Side Asset Manager Investment Management Finance Front Office Trading Financial Services Pandas Numpy Scipy Banking) required by our asset management client in London. You MUST have the … Programmer Excellent Python PySpark Excellent data engineering AWS, GCP or Azure Agile The following is DESIRABLE, not essential: Iceberg Airflow or Dagster Dremio or DBT Java Finance Role: Python Data Engineer (Software Engineer Programmer Developer Data Engineer Python PySpark Spark Glue Athena Iceberg Airflow Dagster DBT Java Agile AWS GCP … and PySpark experience to contribute towards this initiative. They will also be looking at the use of tooling such as Iceberg, Airflow, Dagster, Dremio, DBT, Glue and Athena. These are not essential, only 'nice-to-have' technologies. This is also an excellent opportunity to enter into finance without any prior more »
Experience with building and optimizing data pipelines for large-scale datasets. Solid understanding of data modeling concepts and ETL processes. Experience with DBT (DataBuildTool). Desirable Skills: Experience with DBT (DataBuildTool). Experience with FastAPI. Familiarity with Python UI framework packages. Knowledge of Apigee (as an more »
s largest clients Develop solutions to parse and process tabular data from PDF and HTML documents Maintain, support and expand existing data pipelines using DBT, Snowflake and S3 Implement standardised data ingress/egress pipelines Onboard new, disparate data sets, sourced from many and varied data vendors, covering all asset more »
and tracking the technology innovations applicable to the solutions. Proven experience of working effectively with senior business stakeholders Experience of using tools including Snowflake, DBT, ADF and Azure Synapse Ability to lead teams and projects towards a common architecture approach and language. Strong communication and collaboration skills. Additional Information Legal more »
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 CTO. 2 + more »
Airflow, Snowflake, etc. Expertise designing and developing with distributed data processing platforms like Databricks/Spark. Experience using ELT/ETL tools such as DBT, FiveTran, etc. Understanding of Agile Delivery best practice Good knowledge of the relevant technologies e.g. SQL, Oracle, PostgreSQL, Python, ETL pipelines, Airflow, Hadoop, Parquet. Strong more »
tools such as Looker is highly advantageous Experience working with cloud data warehouses, ideally with AWS/Redshift, Azure, GCP, or Snowflake Experience with dbt is highly advantageous Responsibilities Analyze, organize, and prepare raw data for modeling and data analytics Architect and assist in building data systems and pipelines Evaluate more »
thinking strategically and proactively identifying opportunities. You have experience collaborating with senior business stakeholders and finance teams. You have working knowledge of Python, Airflow, dbt, Bigquery, and Looker. Additional desirables: Experience in one or more finance domains, such as Financial Reporting, Treasury, Regulatory Reporting, Financial Planning & Analysis, Financial Risk, and more »
with AWS, especially AWS services focused on data flow, pipelines, data transformation, storage and streaming. Excellent data engineering skills, for example with SQL, Python, DBT and Airflow. Good understanding of service-oriented architecture; experience of exposing and consuming data via APIs, streams and webhooks. Confidence in coding, scripting, configuring, versioning more »
