Lead Data Engineer (AWS) in Swansea

Lead Data Engineer (AWS) in Swansea

Swansea Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Made Tech

At a Glance

  • Tasks: Lead data engineering projects to empower public sector organisations with robust data platforms.
  • Company: Join Made Tech, a forward-thinking company transforming public services through data.
  • Benefits: Enjoy 30 days holiday, flexible parental leave, and remote working options.
  • Other info: Be part of a diverse team committed to inclusivity and community support.
  • 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 required.

The predicted salary is between 60000 - 80000 £ per year.

hackajob is collaborating with Made Tech to connect them with exceptional professionals for this role. As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in helping public sector organisations become truly data-led, by equipping them with robust data platforms. You'll also join a data team on its mission to get data knowledge and skills out of silos and embedded into delivery teams.

Your responsibilities will include:

  • Implementing efficient data pipelines & storage.
  • Defining, shaping and perfecting data strategies in central and local government.
  • Helping public sector teams understand the value of their data, and make the most of it.
  • Establishing yourself as a trusted advisor in data-driven approaches using public cloud services like AWS, Azure and GCP.
  • Handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop.
  • Understanding possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes).
  • Creating data pipelines on a cloud environment and integrating error handling within these pipelines.
  • Creating reusable libraries to encourage uniformity across multiple data pipelines.
  • Documenting and presenting end-to-end diagrams to explain a data processing system on a cloud environment.
  • Working on agile delivery-led projects and applying agile practices such as Scrum, XP, Kanban.
  • Owning the cloud infrastructure underpinning data systems through a DevOps approach.
  • Designing and implementing efficient data transformation processes at scale, both in batch and streaming use cases.
  • Delivering data platforms and demonstrating a commercial mindset when on projects to grow accounts organically with senior stakeholders.
  • Improving resilience into a project by checking for software vulnerabilities and implementing appropriate testing strategies (unit integration, data quality, etc).
  • Offering guidance on how to implement a robust DevOps approach in a data project.
  • Discussing tools needed such as DataOps in areas such as orchestration, data integration and data analytics.
  • Working with Docker and virtual environments as part of the development and CI/CD process.
  • Collaborating 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.
  • Engaging with multidisciplinary digital and technology teams.

We’re committed to building a happy, inclusive and diverse workforce. We have recently introduced a flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan.

Additional benefits include:

  • 30 days of paid annual leave.
  • Flexible parental leave options.
  • Part-time remote working for all staff.
  • Paid counselling as well as financial and legal advice.

An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. Eligibility for SC requires 5 years' UK residency and 5 years' employment history (or back to full-time education).

We help organisations transform, deliver and manage world-class digital products and services. We’re helping local authorities make it easier and quicker for people to log housing repairs online. By digitalising access to NHS services we’re making it more accessible, such as children needing mental health support. We’re helping to drive better environmental outcomes by improving network performance through real-time asset monitoring, which means less wasted energy.

We were recently named as a finalist in the Raising the Bar for Workplace Transparency Award in the Shift People Awards.

Made Tech

Contact Details:

Made Tech Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Engineer (AWS) in Swansea

Get Involved in Data Science Meetups

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Show Off Your Projects

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Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Made Tech.

Apply Directly through Our Website

When you find a suitable opening like Lead Data Engineer (AWS) at Made Tech, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Lead Data Engineer (AWS) in Swansea

SQL
Problem-Solving Skills
Communication Skills
Python
Data Pipeline Development
Data Engineering
Data Governance

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Made Tech, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Made Tech. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Made Tech

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Made Tech!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.