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- Tasks: Lead the Snowflake migration program and mentor a team of data engineers.
- Company: Join a dynamic company focused on innovative data solutions in London.
- Benefits: Enjoy a permanent position with opportunities for professional growth and collaboration.
- Why this job: Be at the forefront of data engineering, driving impactful projects and fostering a culture of innovation.
- Qualifications: 15+ years in data engineering, with strong leadership and technical skills in Snowflake and orchestration tools.
- Other info: Immediate start available; ideal for those passionate about data transformation.
The predicted salary is between 72000 - 108000 £ per year.
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.
Data Engineering Lead employer: Falcon Smart IT (FalconSmartIT)
Contact Detail:
Falcon Smart IT (FalconSmartIT) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Lead
✨Tip Number 1
Make sure to showcase your experience with Snowflake, Fivetran, and DBT in your conversations. Highlight specific projects where you led data migrations or implemented data pipelines, as this will demonstrate your hands-on expertise.
✨Tip Number 2
Prepare to discuss your leadership style and how you've successfully managed teams in the past. Be ready to share examples of how you've motivated your team and removed obstacles to ensure project success.
✨Tip Number 3
Familiarize yourself with the company's data governance policies and regulatory requirements. Being able to speak knowledgeably about these topics will show that you understand the importance of compliance in data engineering.
✨Tip Number 4
Engage with cross-functional teams during your discussions. Demonstrating your ability to collaborate effectively with product owners, designers, and other stakeholders will highlight your communication skills and your fit for the role.
We think you need these skills to ace Data Engineering Lead
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the Data Engineering Lead position. Highlight your experience with Snowflake, Fivetran, DBT, and orchestration tools in your application.
Tailor Your CV: Customize your CV to reflect your 15+ years of experience in data engineering and your leadership roles. Emphasize your technical skills and any relevant certifications that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your leadership experience and your ability to drive successful data migration projects. Mention specific examples of how you've led teams and resolved project blockers in the past.
Highlight Collaboration Skills: In your application, emphasize your communication and collaboration skills. Provide examples of how you've worked with cross-functional teams and stakeholders to achieve project goals.
How to prepare for a job interview at Falcon Smart IT (FalconSmartIT)
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Snowflake, Fivetran, DBT, and orchestration tools in detail. Highlight specific projects where you led data migrations or implemented data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Leadership Skills
As a Data Engineering Lead, your ability to lead and mentor a team is crucial. Share examples of how you've motivated teams, removed obstacles, and ensured high-quality results in previous roles. Be ready to discuss your approach to managing workloads and prioritizing tasks.
✨Communicate Effectively
Strong communication skills are essential for this role. Practice explaining complex technical concepts in a way that non-technical stakeholders can understand. Be prepared to discuss how you would communicate project progress and issues to various teams.
✨Prepare for Collaboration Scenarios
Expect questions about how you would collaborate with cross-functional teams, including data science and product stakeholders. Think of examples where you successfully worked with others to unblock project blockers and drive successful outcomes.
