Senior Data Engineer at Falcon Smart IT (FalconSmartIT)
London, Cornwall - England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

30 Dec, 26

Salary

30000.0

Posted On

01 Oct, 26

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Technology & Services;Software Development & Publishing

Description

About the job


Job Title: Senior Data Engineer

Job Location :London, UK ( 2 days a week in client office, 3 days remote)

Job Type :Permanent, Contract, FTC


Job Description:


Mandatory Skillsets: Python, Snowflake, dBT, dremio, glue jobs, Apache iceberg, AWS ,SQL


Key Responsibilities:

• Architect and Develop: Contribute to the platform’s architectural design and build integration, modelling, data persistence, and analytical systems.

• Data Pipelines: Implement, maintain, and test robust data pipelines.

• Metadata Management: Develop and manage metadata processes and tools.

• Performance Monitoring: Ensure the stability and performance of data pipelines.

• Data Quality: Implement tools for data curation, metadata management, and quality assurance.

• Collaboration: Engage with business and technology teams to align the platform with organizational goals.


Preferred Technical Skills:

• Programming: 5+ years of experience in Python/Java.

• Cloud Expertise: Strong understanding of AWS services (e.g., Lambda, Step Functions, ECS).

• Data Platforms: Hands-on experience with Snowflake and data stack technologies like Apache Iceberg and Spark.

• Workflow Orchestration: Exposure to tools like Apache Airflow, Prefect, Dagster, or DBT.

• Data Services: Familiarity with AWS Glue, Lake Formation, EMR, EventBridge, Athena, and similar services.

• Metadata Tools: Experience with tools like Amundsen, Atlas, DataHub, OpenDataDiscovery, or Marquez.

• RDBMS: Knowledge of PostgreSQL is a plus.

• Industry Experience: Proven experience building enterprise-wide data and analytics systems, preferably in financial services or asset management.


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Responsibilities

About the job


Job Title: Senior Data Engineer

Job Location :London, UK ( 2 days a week in client office, 3 days remote)

Job Type :Permanent, Contract, FTC


Job Description:


Mandatory Skillsets: Python, Snowflake, dBT, dremio, glue jobs, Apache iceberg, AWS ,SQL


Key Responsibilities:

• Architect and Develop: Contribute to the platform’s architectural design and build integration, modelling, data persistence, and analytical systems.

• Data Pipelines: Implement, maintain, and test robust data pipelines.

• Metadata Management: Develop and manage metadata processes and tools.

• Performance Monitoring: Ensure the stability and performance of data pipelines.

• Data Quality: Implement tools for data curation, metadata management, and quality assurance.

• Collaboration: Engage with business and technology teams to align the platform with organizational goals.


Preferred Technical Skills:

• Programming: 5+ years of experience in Python/Java.

• Cloud Expertise: Strong understanding of AWS services (e.g., Lambda, Step Functions, ECS).

• Data Platforms: Hands-on experience with Snowflake and data stack technologies like Apache Iceberg and Spark.

• Workflow Orchestration: Exposure to tools like Apache Airflow, Prefect, Dagster, or DBT.

• Data Services: Familiarity with AWS Glue, Lake Formation, EMR, EventBridge, Athena, and similar services.

• Metadata Tools: Experience with tools like Amundsen, Atlas, DataHub, OpenDataDiscovery, or Marquez.

• RDBMS: Knowledge of PostgreSQL is a plus.

• Industry Experience: Proven experience building enterprise-wide data and analytics systems, preferably in financial services or asset management.


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