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For Companies At a Glance
- Tasks: Lead data strategy and design solutions for a growing FTSE-listed company.
- Company: Join a small, impressive organization on its exciting data journey.
- Benefits: Enjoy a generous package, hybrid work, private medical, and 28 days holiday.
- Why this job: Be a data visionary and partner in shaping strategic goals with impactful solutions.
- Qualifications: Expertise in T-SQL, ETL, Azure Data Factory, and experience leading small teams required.
- Other info: Work in modern offices with an onsite gym and a collaborative culture.
The predicted salary is between 48000 - 72000 £ per year.
Lead Data Engineer Salary/Rate: £100,000 – £110,000 per annum + Bonus Location: North London Company: Retelligence About Retelligence Retelligence is partnering with a high-growth, forward-thinking organization that specializes in digital innovation and marketing across international markets. The company is on an exciting journey, rapidly scaling its capabilities and leveraging advanced technology to deliver cutting-edge solutions. Join a dynamic team within a business that values innovation, supports professional development, and offers exceptional career progression. The Role Retelligence is seeking a Lead Data Engineer to take a hands-on role in designing and delivering robust, real-time data pipelines and infrastructure in a Google Cloud Platform (GCP) environment. The company is particularly interested in candidates with strong expertise in SQL. As the Lead Data Engineer, you’ll play a critical role in shaping their data architecture and driving transformation. You’ll partner closely with engineering, product, and analytics teams to ensure efficient, high-performance data systems that enable the business to thrive in a fast-paced environment. Key Responsibilities: * Design, develop, and maintain scalable, data pipelines and infrastructure in a GCP environment. * Integrate multiple data sources to ensure seamless data flow across the organization. * Build and optimize data models for querying and analytics use cases. * Develop fault-tolerant, highly available data ingestion and processing pipelines. * Continuously monitor and improve pipeline performance for low-latency and high-throughput operations. * Ensure data quality, integrity, and security across all systems. * Implement effective monitoring, logging, and alerting mechanisms. * Collaborate with product, engineering, and analytics teams to deliver tailored solutions that meet business needs. About You * Strong hands-on experience in data engineering with expertise in Python. * Proven track record of building and managing data pipelines. * In-depth experience with Google Cloud Platform (GCP) and its associated tools for data ingestion and processing. * Familiarity with distributed streaming platforms such as Kafka or similar technologies. * Advanced knowledge of SQL. * Experience with data orchestration tools. * Ability to optimize and refactor data pipelines for improved performance and scalability. * Strong problem-solving skills and the ability to thrive in a collaborative, fast-paced environment
Lead Data Engineer employer: Retelligence
Contact Detail:
Retelligence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Familiarize yourself with the specific data tools and technologies mentioned in the job description, especially Azure Data Factory and T-SQL. Being able to discuss your hands-on experience with these tools during the interview will demonstrate your readiness to lead their data strategy.
✨Tip Number 2
Prepare examples of how you've successfully led small data teams or projects in previous roles. Highlight your ability to be a proactive business partner and how your contributions have aligned with strategic goals in smaller organizations.
✨Tip Number 3
Since this role involves creating Power BI dashboards for various audiences, brush up on your dashboard design skills. Be ready to discuss how you can tailor visualizations to meet the needs of different stakeholders, including C-level executives.
✨Tip Number 4
Research the company’s current data journey and think about how you can contribute to their growth. Showing that you understand their challenges and have ideas for solutions will set you apart as a candidate who is genuinely interested in the role.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Lead Data Engineer position. Highlight the key responsibilities and required skills, such as T-SQL expertise and experience with Azure Data Factory, to tailor your application accordingly.
Showcase Relevant Experience: In your CV and cover letter, emphasize your experience in leading data teams and working in smaller organizations. Provide specific examples of how you've designed solutions that align with strategic goals, particularly in data warehousing and ETL processes.
Highlight Technical Skills: Clearly outline your technical skills related to the role, such as proficiency in query optimization, dimensional modeling, and Power BI dashboard creation. Mention any relevant projects where you utilized these skills, especially those involving time intelligence functions in DAX.
Craft a Compelling Cover Letter: Write a personalized cover letter that reflects your passion for data strategy and your vision for the role. Discuss how your background aligns with the company's goals and how you can contribute to their data journey as a proactive business partner.
How to prepare for a job interview at Retelligence
✨Show Your Leadership Skills
As a Lead Data Engineer, you'll be expected to lead small teams. Be prepared to discuss your previous experiences in leading data or tech teams, and how you can inspire and guide others in their data journey.
✨Demonstrate Your Technical Expertise
Make sure to highlight your proficiency in T-SQL, ETL processes, and Azure Data Factory. Prepare examples of how you've optimized queries and designed data warehouses in the past.
✨Understand Business Needs
This role requires a proactive business partner. Be ready to explain how you've aligned data strategies with business goals in previous roles, and how you can do the same for this company.
✨Prepare for Technical Questions
Expect questions about dimensional models, cloud architecture, and Power BI dashboards. Brush up on DAX functions, especially time intelligence, and be ready to discuss how you've used these tools to create impactful data solutions.
