Lead Data Engineer in London

Lead Data Engineer in London

London Full-Time 56700 - 69300 £ / year (est.) Home office (partial)
Hackajob Ltd

At a Glance

  • Tasks: Lead the development of data strategies and implement efficient data pipelines for public sector organisations.
  • Company: Join Made Tech, a mission-driven tech company focused on improving society through technology.
  • Benefits: Enjoy 30 days holiday, flexible working, paid counselling, and a supportive community.
  • Other info: Be part of a diverse team with excellent career growth opportunities and a focus on employee wellbeing.
  • Why this job: Make a real impact by transforming how public services use data and technology.
  • Qualifications: Experience in data engineering, cloud services, and agile methodologies is essential.

The predicted salary is between 56700 - 69300 £ per year.

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. You'll help implement efficient data pipelines & 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 & Expertise

  • Proficiency in Git (inc. 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're 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. We use Slack to foster a sense of community and connection, with special interest groups and dedicated learning spaces called communities of practice (COPs).

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. All successful candidates for this role must have eligibility for SC, which requires 5 years' UK residency and 5 years' employment history (or back to full-time education). Ideally, no more than 30 consecutive days spent outside the UK within the last five years.

About Made Tech

Made Tech is on a mission to use technology to improve society - for everyone. We help organisations transform, deliver and manage world-class digital products and services. Our services include the design and build of the Homes for Ukraine service, improving access to NHS services, and driving better environmental outcomes through real-time asset monitoring.

Lead Data Engineer in London employer: Hackajob Ltd

At loveholidays, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a Product Designer, you'll have the opportunity to contribute to meaningful projects that enhance customer experiences while enjoying a range of benefits, including professional development opportunities and a supportive team environment in a vibrant location. Join us in our mission to make travel accessible for everyone and be part of a company that values your creativity and input.

Hackajob Ltd

Contact Details:

Hackajob Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Engineer in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Hackajob Ltd!

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 Hackajob Ltd.

Apply Directly through Our Website

When you find a suitable opening like Lead Data Engineer at Hackajob Ltd, 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 in London

SQL
Problem-Solving Skills
Communication Skills
Data Pipeline Development
Python
Data Engineering
API Integration

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 Hackajob Ltd, 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 Hackajob Ltd. 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 Hackajob Ltd

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 Hackajob Ltd!

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.