Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead and shape data engineering solutions while mentoring a talented team.
- Company: Dynamic consultancy with a focus on innovation and collaboration.
- Benefits: Competitive salary, healthcare, and continuous professional development opportunities.
- Other info: Join a supportive community that values diversity and offers leadership opportunities.
- Why this job: Make a real impact on diverse projects while growing your technical expertise.
- Qualifications: Experience in cloud-based data engineering and strong programming skills.
The predicted salary is between 60000 - 75000 £ per year.
Step into a senior, high-impact data engineering role where you'll shape technical strategy without stepping away from the tools. As a Lead Data Engineer, you'll be hands on across architecture and build, driving delivery on complex client projects and stepping in where needed to solve the hardest problems.
Own and lead the technical architecture and delivery of scalable data engineering solutions.
Provide technical leadership, mentorship, and guidance to Data Engineers within delivery teams.
Design and manage robust data pipelines, data platforms, and warehousing solutions.
Take a hands on approach on complex or high risk engineering components.
Define and promote best practices for data quality, performance, governance, and security.
Collaborate with clients, product managers, analysts, and software engineers to translate business needs into data solutions.
Ensure data platforms meet non-functional requirements such as reliability, scalability, and maintainability.
Contribute to the consultancy's technical communities and quality forums.
Proven experience designing and delivering scalable cloud based data engineering solutions.
Expertise with Azure (Data Factory, Synapse), or AWS (Redshift, Glue) and GCP (BigQuery, Dataflow).
Advanced SQL skills, including optimisation and performance tuning.
Strong experience with ETL/ELT pipelines and data transformation frameworks.
Programming proficiency in Python, Scala, or Java for data processing.
Deep understanding of data warehousing concepts and best practices.
Experience maintaining reliable, production-grade data pipelines.
Agile delivery experience and ability to shape team practices.
Analytical mindset with high attention to detail and quality.
Competitive salary and benefits package including healthcare.
Opportunities for continuous professional development and technical growth.
Exposure to diverse projects across industries, building both technical and consulting expertise.
Mentorship and leadership opportunities within a collaborative engineering community.
We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.
Remote Team Lead Developer in Bradford employer: Fruition Group
Contact Detail:
Fruition Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Team Lead Developer in Bradford
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Azure, AWS, or GCP. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with data pipelines and cloud solutions, as well as how you’ve tackled complex challenges in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you to join our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Remote Team Lead Developer in Bradford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in data engineering, cloud solutions, and programming languages like Python or Java. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background aligns with our needs. Don’t forget to mention any relevant projects or achievements that showcase your technical leadership.
Showcase Your Technical Skills: In your application, be sure to highlight your experience with data pipelines, ETL/ELT processes, and cloud platforms like Azure or AWS. We love seeing specific examples of how you've tackled complex problems in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Fruition Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Azure, AWS, and GCP. Brush up on your SQL skills and be ready to discuss how you've optimised data pipelines in the past.
✨Showcase Your Leadership Skills
As a Team Lead Developer, you'll need to demonstrate your ability to mentor and guide others. Prepare examples of how you've led teams or projects, and be ready to discuss your approach to fostering collaboration and best practices.
✨Prepare for Problem-Solving Questions
Expect to face complex problem-solving scenarios during the interview. Think of specific challenges you've encountered in data engineering and how you tackled them. This will show your analytical mindset and hands-on approach.
✨Understand the Business Needs
Be prepared to discuss how you can translate business requirements into effective data solutions. Research the company’s projects and think about how your technical expertise can align with their goals and enhance their data strategy.