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Data Engineering Lead

FalconSmartIT
London
9 months ago
Applications closed

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Data Scientist - Engineer Data Engineering · London, UK · Hybrid

Data/Machine Learning Ops Engineer

Role:Data Engineering Lead

Location:London, UK

Is it Permanent / Contract:Permanent

Is it Onsite/Remote/Hybrid:Onsite

Start Date:Immediate


Data Engineering Lead:

Job Summary:

An experienced Data Engineering Lead to deliver a Snowflake migration program, leveraging strong knowledge in Snowflake, Fivetran, DBT, and orchestration tools. As a POD Lead, you will define development and coding standards, set frameworks, define standards, and remove external impediments. You will collaborate with various stakeholders to unblock project blockers and drive the successful migration to Snowflake.


Key Responsibilities:

Technical Leadership

1. Lead the design and implementation of the Snowflake migration program, ensuring successful data migration, integration, and optimization.

2. Define and implement development and coding standards for data engineering, leveraging Snowflake, Fivetran, DBT, Python, and orchestration tools.

3. Strong knowledge in ADO and CI/CD standards/pipelines

4. Set technical frameworks and guidelines for data engineering projects, ensuring alignment with overall technical vision.

5. Collaborate with architects to ensure alignment with overall technical vision.


Snowflake Migration Program

1. Develop and execute a comprehensive migration plan, including data ingestion, processing, and storage.

2. Design and implement data pipelines using Fivetran, DBT, and Snowflake.

3. Ensure data quality, integrity, and security throughout the migration process.

4. Ensure Chaucer data governance policies and procedures are adhered to as well as regulatory rules


POD Leadership

1. Lead a team of data engineers, providing technical guidance and mentorship.

2. Remove external impediments, ensuring the team can deliver high-quality results.

3. Collaborate with product owners, designers, and other stakeholders to define project requirements.

4. Prioritize and manage the team's workload, ensuring efficient delivery of projects.


Collaboration and Communication

1. Collaborate with cross-functional teams, including data science, product, and business stakeholders.

2. Communicate technical plans, progress, and issues to stakeholders.

3. Foster a culture of innovation, experimentation, and continuous learning.

4. Identify and mitigate project blockers, collaborating with stakeholders to resolve issues.

5. Agree and report KPIs on engineering delivery to the leadership team via defined weekly/monthly updates. Take an active part in monthly townhalls representing the engineering workstream.


Requirements:

1. Education: Bachelor's degree in Computer Science, Engineering, or a related field.

2. Experience: 15+ years of experience in data engineering, with 5+ years of experience in a leadership role.

3. Technical Skills: Strong knowledge in Snowflake, Fivetran, DBT, and orchestration tools (e.g., Apache Airflow, Prefect).

4. Leadership Skills: Proven leadership and management experience, with the ability to motivate and inspire teams.

5. Communication Skills: Excellent communication and collaboration skills, with the ability to work with cross-functional teams.


Nice to Have:

1. Certifications in data engineering, such as Snowflake Certified Data Engineer or AWS Certified Data Engineer.

2. Experience with cloud-based data platforms, such as Azure, AWS, or GCP.

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