At a Glance
- Tasks: Lead the development of data strategies and implement efficient data pipelines for public sector organisations.
- Company: Join Made Tech, a forward-thinking tech consultancy focused on data-driven solutions.
- Benefits: Enjoy 30 days holiday, flexible parental leave, remote work options, and paid counselling.
- Other info: Be part of a diverse team with a strong focus on employee growth and community.
- Why this job: Make a real impact by helping public sector teams harness the power of their data.
- Qualifications: Experience in data engineering, cloud services, and agile methodologies is essential.
The predicted salary is between 28800 - 48000 £ per year.
As a Lead Data Engineer or architect at Made Tech, you will play a pivotal role in helping public sector organisations become truly data-led, by equipping them with robust data platforms. You will also join a data team on its mission to get data knowledge and skills out of silos and embedded into delivery teams. You will help implement efficient data pipelines and storage.
Key responsibilities
- Define, shape and perfect data strategies in central and local government.
- Help public sector teams understand the value of their data, and make the most of it.
- Establish yourself as a trusted advisor in data-driven approaches using public cloud services like AWS, Azure and GCP.
- Contribute to recruitment efforts and take on line management responsibilities.
Skills, knowledge and expertise
- Proficiency in Git (including Github Actions) and able to explain the benefits of different branch strategies.
- Strong experience in IaC and able to guide how one could deploy infrastructure into different environments.
- Knowledge of handling and transforming various data types (JSON, CSV, etc.) with Apache Spark, Databricks or Hadoop.
- Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes).
- Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines.
- Understand how to create reusable libraries to encourage uniformity across multiple data pipelines.
- Able to document and present end-to-end diagrams to explain a data processing system on a cloud environment.
- Some knowledge of how to present diagrams (C4, UML, etc.).
- Enthusiasm for learning and self-development.
- Experience of working on agile delivery-led projects and can apply agile practices such as Scrum, XP, Kanban.
- Can own the cloud infrastructure underpinning data systems through a DevOps approach.
- Design and implement efficient data transformation processes at scale, both in batch and streaming use cases.
- Skilled Data Engineer who has delivered data platforms.
- Knowledge of SOLID, DRY and TDD principles and how to practically implement these into a project.
- Demonstrate a commercial mindset when on projects to grow accounts organically with senior stakeholders.
- Experience to improve resilience into a project by checking for software vulnerabilities and implementing appropriate testing strategies (unit integration, data quality, etc.).
- Skilled at offering guidance on how to implement a robust DevOps approach in a data project.
- Comfortably talk about tools needed such as DataOps in areas such as orchestration, data integration and data analytics.
Desirable experience
- Working at a technology consultancy.
- Working with Docker and virtual environments as part of the development and CI/CD process.
- Working with senior stakeholders to gather requirements and keep them engaged.
- Experience in working with a team of engineers using techniques such as pair programming or mob programming.
- Working with data scientists to productionise advanced data deliverables, such as machine learning models.
- Working knowledge of statistics.
- Working with multidisciplinary digital and technology teams.
- Working within the public sector.
Job benefits
Life at Made Tech: We are committed to building a happy, inclusive and diverse workforce. You can get a sense of what it’s like working here from our blog, where we talk about mental health, communities of practice and neurodiversity.
Benefits: We are always listening to our growing teams and evolving the benefits available to our people. Here are some of our most popular benefits:
- 30 days Holiday - we offer 30 days of paid annual leave.
- Flexible Parental Leave - we offer flexible parental leave options.
- Remote Working - we offer part-time remote working for all our staff.
- Paid counselling - we offer paid counselling as well as financial and legal advice.
- Pension - 7% employer matched.
An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we are looking for all successful candidates for this role to have eligibility. Eligibility for SC requires 5 years’ UK residency and 5 year employment history (or back to full-time education). Ideally, no more than 30 consecutive days spent outside the UK within the last five years.
Lead Data Engineer in London employer: Made Tech
At Made Tech, we pride ourselves on being an exceptional employer that champions a diverse and inclusive work culture, where every team member is encouraged to grow and develop their skills. With a strong focus on employee wellbeing, we offer generous benefits such as 30 days of annual leave, flexible working arrangements, and a supportive environment for professional development, making it an ideal place for those looking to make a meaningful impact in the public sector.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects. This gives potential employers a taste of what you can do beyond the application.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data engineering. The more you rehearse, the more confident you'll feel when it counts!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Lead Data Engineer in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Lead Data Engineer role. Highlight your experience with data strategies, cloud services, and any relevant projects that showcase your skills. We want to see how you can help public sector organisations become data-led!
Show Off Your Skills:Don’t hold back on showcasing your technical skills! Mention your proficiency in Git, IaC, and data transformation tools like Apache Spark or Databricks. We’re looking for someone who can create efficient data pipelines, so let us know how you’ve done this in the past.
Be Yourself:We love authenticity! When writing your application, let your personality shine through. Share your enthusiasm for learning and self-development, and don’t hesitate to mention any unique experiences that make you a great fit for our team.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values!
How to prepare for a job interview at Made Tech
✨Know Your Data Tools
Make sure you brush up on your knowledge of data tools like Apache Spark, Databricks, and Hadoop. Be ready to discuss how you've used these in past projects, especially in creating data pipelines and handling various data types.
✨Showcase Your Cloud Skills
Since the role involves working with public cloud services like AWS, Azure, and GCP, be prepared to explain your experience with these platforms. Discuss any specific projects where you implemented cloud solutions and how you ensured efficiency and error handling in your data pipelines.
✨Demonstrate Your Leadership Abilities
As a Lead Data Engineer, you'll need to show that you can guide teams and contribute to recruitment efforts. Share examples of how you've mentored others or taken on leadership roles in previous positions, highlighting your ability to foster a collaborative environment.
✨Prepare for Agile Discussions
Since the company values agile practices, be ready to talk about your experience with methodologies like Scrum, XP, or Kanban. Think of specific instances where you applied these practices to improve project delivery and team dynamics.