At a Glance
- Tasks: Lead data engineering initiatives and architect advanced data solutions for business operations.
- Company: Established professional services firm modernising its data infrastructure in Liverpool.
- Benefits: Up to £70k salary, hybrid working, enhanced leave, and comprehensive wellbeing support.
- Other info: Collaborative environment with leadership opportunities and career progression.
- Why this job: Shape the future of enterprise data management with cutting-edge cloud technologies.
- Qualifications: Solid experience in data engineering, Azure, AWS, Python, SQL, and big data technologies.
The predicted salary is between 42000 - 84000 £ per year.
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.
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
Lead Data Engineer employer: Forward Role Recruitment
As a leading professional services business based in the vibrant Liverpool City Centre, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. With significant investments in cutting-edge data technologies and a commitment to employee growth through leadership opportunities and comprehensive wellbeing support, we offer a rewarding environment for those passionate about shaping the future of data management. Join us to be part of a dynamic team where your contributions will directly impact our clients and the industry at large.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that Lead Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Azure and AWS. We want to see your hands-on experience with big data technologies and how you've tackled real-world problems.
✨Tip Number 3
Prepare for the interview like it’s the final boss level! Research the company’s data initiatives and come armed with questions about their cloud infrastructure. We love seeing candidates who are genuinely interested and ready to contribute to our collaborative environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. We’re excited to see how you can help shape the future of enterprise data management with us!
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Data Engineer role. Highlight your experience with Azure and AWS, as well as your skills in Python and SQL. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's building ETL frameworks or using big data technologies, we want to know what you've done and how it relates to the job.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to see what you bring to the table!
How to prepare for a job interview at Forward Role Recruitment
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific technologies mentioned in the job description, like Azure Data Warehouse and AWS Databricks. Brush up on your Python and SQL skills, and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Leadership Skills
As a Lead Data Engineer, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've successfully managed projects or guided junior engineers, highlighting your stakeholder management and documentation skills.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice articulating your thought process when solving data engineering problems, especially those involving big data technologies like Hadoop and Spark. This will show your analytical abilities and how you translate business needs into technical solutions.
✨Understand the Company’s Vision
Research the company’s goals regarding data infrastructure and cloud technologies. Be ready to discuss how your experience aligns with their vision and how you can contribute to enhancing client services and operational efficiency through advanced analytics.
