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For Companies At a Glance
- Tasks: Lead data engineering initiatives and architect advanced data solutions.
- Company: A professional services firm modernising its data infrastructure in Liverpool.
- Benefits: Enjoy hybrid working, enhanced leave, wellbeing support, and career progression.
- Why this job: Shape the future of data management with cutting-edge technology in a collaborative environment.
- Qualifications: Experience in data engineering, Azure, AWS, Python, SQL, and big data technologies required.
- Other info: This role is not suitable for those on short-term visas.
The predicted salary is between 42000 - 84000 £ per year.
Overview
A well-established professional services business modernising its data infrastructure and embracing cloud-first technologies is looking for a Lead Data Engineer. Based in Liverpool City Centre, they are investing significantly in data capabilities to enhance client services, improve operational efficiency, and drive strategic decision-making through advanced analytics and robust data management practices.
The Role
They are seeking an exceptional Lead Cloud Data Engineer to spearhead data engineering initiatives and drive technical excellence across their cloud infrastructure. You will architect sophisticated data solutions that power critical business operations while leading a talented team of engineers. This is an outstanding opportunity for someone passionate about cutting-edge technology and who wants to shape the future of enterprise data management.
What’s on offer
- Up to £70k DOE
- Hybrid working from Liverpool office – 3 days on site
- Opportunity to work with industry-leading cloud technologies
- Leadership role with genuine career progression prospects
- Collaborative environment with cross-functional teams
- Benefits include enhanced annual leave, comprehensive wellbeing support, enhanced maternity and paternity benefits, life assurance, flexible benefits platform, employee referral scheme, long service recognition, and regular company events
What you’ll need
- Solid experience in data engineering, management and analysis
- Strong experience with Azure Data Warehouse solutions and AWS Databricks platforms
- Excellent Python/PySpark and other languages for data processing
- Strong SQL with experience across relational databases (SQL Server, MySQL) and NoSQL solutions (MongoDB, Cassandra)
- Hands-on knowledge of AWS S3 and related big data services
- Extensive experience with big data technologies including Hadoop and Spark for large-scale data processing
- Deep understanding of data security frameworks, encryption protocols, access management and regulatory compliance
- Proven track record building automated, scalable ETL frameworks and data pipeline architectures
- Excellent analytical and problem-solving abilities with the ability to translate business needs into technical solutions
- Excellent stakeholder management and documentation skills
- Team leadership experience with the ability to mentor and develop engineering talent
Nice to have
- Knowledge of data streaming platforms such as Kafka or Flink
- Exposure to graph databases or vector database technologies
- Professional certifications in Azure or AWS cloud platforms
Please note: This role cannot offer sponsorship and is not suitable for those on short term visas.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
Industries
- Insurance and Professional Services
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Lead Data Engineer employer: Forward Role Recruitment
Contact Detail:
Forward Role Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Familiarise yourself with the specific cloud technologies mentioned in the job description, particularly Azure Data Warehouse and AWS Databricks. Consider building a small project or contributing to open-source projects that utilise these platforms to showcase your hands-on experience.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with big data technologies like Hadoop and Spark. Attend local meetups or online webinars to connect with potential colleagues and learn about industry trends that could give you an edge.
✨Tip Number 3
Prepare to discuss your leadership experience in detail. Think of examples where you've successfully mentored team members or led projects, as this role emphasises team leadership and collaboration within cross-functional teams.
✨Tip Number 4
Stay updated on data security frameworks and compliance regulations relevant to the industry. Being able to articulate your understanding of these topics during discussions will demonstrate your readiness for the responsibilities of this role.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, particularly with Azure Data Warehouse and AWS Databricks. Use specific examples to demonstrate your skills in Python, SQL, and big data technologies like Hadoop and Spark.
Craft a Compelling Cover Letter: In your cover letter, express your passion for cloud technologies and data management. Mention how your leadership experience aligns with the role and how you can contribute to the company's goals of enhancing client services and operational efficiency.
Showcase Relevant Projects: If applicable, include a section in your application that showcases relevant projects or achievements. Highlight any automated ETL frameworks or data pipeline architectures you've built, as well as your experience with data security frameworks.
Prepare for Technical Questions: Anticipate technical questions related to data processing, cloud infrastructure, and stakeholder management. Be ready to discuss your problem-solving abilities and how you've translated business needs into technical solutions in past roles.
How to prepare for a job interview at Forward Role Recruitment
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Azure Data Warehouse and AWS Databricks in detail. Highlight specific projects where you implemented these technologies, focusing on the challenges you faced and how you overcame them.
✨Demonstrate Leadership Skills
Since this role involves leading a team, be ready to share examples of how you've successfully managed and mentored engineers in the past. Discuss your approach to fostering collaboration and driving technical excellence within your team.
✨Prepare for Problem-Solving Scenarios
Expect to encounter technical problem-solving questions during the interview. Brush up on your analytical skills and be ready to explain your thought process when tackling complex data engineering challenges.
✨Understand Business Needs
The ability to translate business requirements into technical solutions is crucial. Prepare to discuss how you've aligned data engineering initiatives with business goals in previous roles, showcasing your stakeholder management skills.