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 »
source and public cloud technologies. Strong experience with data orchestration tools: e.g. Apache Airflow, 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 more »
engineering experience. Proficiency in Python and Java 11+. Familiarity with modern data technologies such as Dremio, Snowflake, Iceberg, (Py)Spark/Glue/EMR, dbt, and Airflow/Dagster. Hands-on experience with AWS. Ability to work effectively with both business and technical stakeholders, owning end-to-end solution delivery. 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 »
Westminster, Colorado, United States Hybrid / WFH Options
Maxar Technologies
with Git Preferred qualifications: Prior experience with CI/CD technologies such as Jenkins Prior experience with any of the following: Trino/Starburst, dbt (core or cloud), Apache Superset, OpenMetadata, Apache Airflow, Tableau. Prior experience with RDS databases, or Postgres. Agile software development lifecycle experience These skills would be more »
experience: Ability to operate in a fast changing environment. Fluent in English Previous cloud based infrastructure experience, particularly with AWS. Experience using Airflow and dbt Expert SQL knowledge Solid understanding of Dimensional Data Modelling. Experience with at least one or more of these programming languages: Python, Scala/Java Experience more »
AWS infrastructure, including S3, Redshift, Lambda, Step Functions, DynamoDB, AWS Glue, RDS, Athena, Kinesis, Quicksight. We also widely use other tech such as Snowflake, DBT, Databricks, Informatica, Matillion, Airflow, Tableau, Power BI etc. The Lead Data Architect will liaise with clients to define requirements, refine solutions and ultimately hand over 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 »
professionals. Acting as a leader and mentor to team members, fostering their professional development. Working closely with technology partners such as Google Cloud (GCP), dbt Labs, and Looker. Playing a crucial role in shaping the architecture team, driving innovation and maintaining high standards of performance. Requirements of the Cloud Architect 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 »
professionals. Acting as a leader and mentor to team members, fostering their professional development. Working closely with technology partners such as Google Cloud (GCP), dbt Labs, and Looker. Playing a crucial role in shaping the architecture team, driving innovation and maintaining high standards of performance. Requirements of the Cloud Architect 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 »
Previous experience in a Data Engineering role Strong SQL and Python development skills Hands-on experience with cloud-based data warehousing technologies (e.g., Snowflake, DBT, FiveTran, AirFlow) Effective communication skills for both technical and non-technical audiences Analytical mindset with attention to detail High energy, enthusiasm, and passion for learning more »
