At a Glance
- Tasks: Join us as a Senior Data Engineer, delivering impactful data solutions for public sector clients.
- Company: Made Tech is dedicated to improving public services through innovative technology and diverse teams.
- Benefits: Enjoy flexible remote work, paid counselling, and a range of employee perks tailored for your wellbeing.
- Why this job: Be part of a culture that values diversity, learning, and making a real difference in society.
- Qualifications: We're looking for enthusiastic learners with skills in data engineering, cloud infrastructure, and DevOps.
- Other info: Connect with our diverse Slack groups to learn about employee experiences and support.
The predicted salary is between 48000 - 72000 £ per year.
Our Senior Data Engineers enable public sector organisations to embrace a data-driven approach by providing high-quality, cost-efficient data platforms and services tailored to clients’ needs. They develop, operate, and maintain these services, ensuring maximum value for data consumers, including analysts, scientists, and business stakeholders. Key responsibilities As a Senior Data Engineer, you may assume multiple roles based on our clients\’ needs. The role is highly hands-on, supporting project delivery as a senior contributor and upskilling client team members. You might also take on a technical architect role, collaborating with the MadeTech team to identify growth opportunities within the account. You’ll need a drive to deliver outcomes for users, considering the broader context of delivery and maintaining alignment between operational and analytical aspects of the engineering solution. Skills, knowledge and expertise We seek candidates with a range of skills and experience; please apply even if you don’t meet all criteria. Enthusiasm for learning and self-development Proficiency in Git (including Github Actions) and understanding of branch strategies Experience gathering and meeting requirements from clients and users on data projects Strong experience in Infrastructure as Code (IaC) and deploying infrastructure across environments Managing cloud infrastructure with a DevOps approach Handling and transforming various data types (JSON, CSV, etc.) using Apache Spark, Databricks, or Hadoop Understanding modern data system architectures (Data Warehouse, Data Lakes, Data Meshes) and their use cases Creating data pipelines on cloud platforms with error handling and reusable libraries Documenting and presenting end-to-end data processing system diagrams (C4, UML, etc.) Implementing robust DevOps practices in data projects, including DataOps tools for orchestration, data integration, and analytics Enhancing resilience through vulnerability checks and testing strategies (unit, integration, data quality) Applying SOLID, DRY, and TDD principles practically Agile methodologies such as Scrum, XP, and Kanban Designing and implementing efficient batch and streaming data transformations at scale Mentoring, team support, and line management skills Commercial mindset to grow accounts organically with senior stakeholders Experience in the following areas is desirable but not essential: Working in a technology consultancy Using Docker and virtual environments in CI/CD Engaging with senior stakeholders for requirements gathering Collaborating with engineers via pair or mob programming Working with data scientists to productionize machine learning models Knowledge of statistics Collaborating across multidisciplinary teams Experience within the public sector Support in applying If you need this job description in another format or require support in applying, please email talent@madetech.com. We believe technology can improve public services and that diversity within our team enhances this mission. We encourage applicants from underrepresented groups to apply. We are committed to accessibility and inclusion, offering adjustments for interview processes and welcoming feedback on our candidate experience. We foster community through Slack channels and communities of practice, covering interests like music, food, pets, and professional development. If you\’d like to connect with these groups, please contact a Made Tech talent team member. Our benefits include flexible schemes like Smart Tech, Cycle to Work, and personalized benefit allowances. We promote connection through social and wellbeing events. Our popular benefits: ️ 30 days Holiday – paid leave plus bank holidays Remote Working – part-time remote options Paid counselling – mental health, legal, and financial advice Candidates must be eligible for SC security clearance, requiring 5 years of UK residency. If eligibility is not confirmed during the process, we cannot proceed with your application. Interested? Join us in using technology to improve society. Our transparent and supportive hiring process guides candidates at each stage, with feedback provided throughout. Shortlisted candidates will be invited for screening. Register your interest to stay updated on relevant roles. #J-18808-Ljbffr
Senior Data Engineer employer: Made Tech Limited
Contact Detail:
Made Tech Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Apache Spark, Databricks, and cloud environments. Being able to discuss your hands-on experience with these tools during the interview will demonstrate your capability and enthusiasm for the role.
✨Tip Number 2
Showcase your understanding of DevOps principles and how they apply to data engineering. Be prepared to discuss how you've implemented a robust DevOps approach in past projects, as this is a key aspect of the role.
✨Tip Number 3
Highlight any experience you have in mentoring or upskilling team members. This aligns with the responsibilities of the Senior Data Engineer role, and demonstrating your ability to support others will set you apart from other candidates.
✨Tip Number 4
Engage with the company culture by researching Made Tech's values and initiatives, especially around diversity and inclusion. Showing that you resonate with their mission can make a positive impression during your interview.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Senior Data Engineer role. Focus on your proficiency in Git, cloud infrastructure, and data transformation processes, as these are key aspects of the job.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company’s mission to improve public services through technology. Mention specific projects or experiences that demonstrate your ability to deliver outcomes for users.
Showcase Your Technical Skills: Be explicit about your technical expertise in areas such as Apache Spark, Databricks, and DevOps practices. Provide examples of how you've successfully implemented these skills in previous roles or projects.
Highlight Soft Skills: Don’t forget to mention your people skills, such as mentoring and teamwork. The company values supportive team players, so share instances where you’ve contributed positively to a team environment.
How to prepare for a job interview at Made Tech Limited
✨Showcase Your Technical Skills
As a Senior Data Engineer, it's crucial to demonstrate your proficiency in tools like Git, Apache Spark, and cloud infrastructure. Be prepared to discuss specific projects where you've successfully implemented these technologies and how they contributed to the project's success.
✨Understand the Company’s Mission
Familiarise yourself with the company's goal of improving public services through technology. During the interview, express your enthusiasm for this mission and how your skills can contribute to achieving it, especially in a data-driven context.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about past experiences where you had to gather requirements, design data pipelines, or implement DevOps practices, and be ready to explain your thought process and outcomes.
✨Emphasise Team Collaboration
Highlight your experience working in teams, mentoring others, and engaging with stakeholders. Discuss how you’ve fostered collaboration in previous roles, as this aligns with the company’s culture of inclusivity and teamwork.