Senior Data Engineer

Senior Data Engineer

Bolton Full-Time 58813 - 81921 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Join a high-performing team to develop impactful data-centric solutions.
  • Company: Be part of DWP, making a difference for millions of users.
  • Benefits: Enjoy hybrid working, flexible hours, and a generous pension contribution.
  • Why this job: Work in a supportive environment with opportunities for personal and professional growth.
  • Qualifications: Experience in data engineering and a passion for problem-solving required.
  • Other info: This role offers a great work-life balance and collaborative culture.

The predicted salary is between 58813 - 81921 £ per year.

Pay up to £73,517, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance.

Our DWP Data Engineers work in a high-performing team with engineers, architects, designers and more. We offer guidance and support, developing data-centric solutions that positively impact millions of DWP users, helping them to find and use essential DWP services.

Senior Data Engineer employer: DWP Digital

As a Senior Data Engineer at DWP, you will join a high-performing team dedicated to developing innovative data-centric solutions that make a real difference in the lives of millions. With competitive pay, generous pension contributions, and a commitment to work-life balance through hybrid working and flexible hours, DWP fosters a supportive and collaborative work culture that prioritises employee growth and well-being.
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Contact Detail:

DWP Digital Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer

✨Tip Number 1

Familiarise yourself with the latest data engineering tools and technologies that are relevant to our work at StudySmarter. Being well-versed in platforms like Apache Spark, Hadoop, or cloud services such as AWS or Azure can set you apart from other candidates.

✨Tip Number 2

Showcase your problem-solving skills by preparing examples of past projects where you've developed data-centric solutions. Be ready to discuss how your contributions positively impacted users or improved processes, as this aligns with our mission at StudySmarter.

✨Tip Number 3

Network with current or former employees in similar roles. Engaging with them on platforms like LinkedIn can provide you with insights into our company culture and expectations, which can be invaluable during the interview process.

✨Tip Number 4

Prepare for technical interviews by brushing up on your coding skills and data structures. Practising common data engineering problems can help you feel more confident and demonstrate your expertise effectively during the interview.

We think you need these skills to ace Senior Data Engineer

Proficiency in SQL and NoSQL databases
Experience with data warehousing solutions
Strong knowledge of ETL processes
Familiarity with big data technologies (e.g., Hadoop, Spark)
Data modelling and schema design
Programming skills in Python, Java, or Scala
Cloud platform experience (e.g., AWS, Azure, Google Cloud)
Understanding of data governance and security best practices
Ability to work with APIs and data integration tools
Collaboration skills for working in cross-functional teams
Problem-solving and analytical thinking
Experience with version control systems (e.g., Git)
Knowledge of data visualisation tools
Adaptability to new technologies and methodologies

Some tips for your application 🫡

Understand the Role: Familiarise yourself with the responsibilities of a Senior Data Engineer. Highlight your experience in developing data-centric solutions and working within high-performing teams in your application.

Tailor Your CV: Make sure your CV reflects relevant skills and experiences that align with the job description. Emphasise your technical expertise, particularly in data engineering, and any experience you have with hybrid working environments.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of how your work can positively impact users. Mention specific projects or achievements that demonstrate your capabilities.

Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise to make a strong impression.

How to prepare for a job interview at DWP Digital

✨Showcase Your Technical Skills

As a Senior Data Engineer, you'll need to demonstrate your expertise in data engineering tools and technologies. Be prepared to discuss your experience with databases, ETL processes, and any relevant programming languages. Bring examples of past projects where you've successfully implemented data solutions.

✨Understand the Company’s Mission

Familiarise yourself with the DWP's mission and how data engineering plays a role in it. Showing that you understand how your work can positively impact millions of users will set you apart. Prepare to discuss how your skills align with their goals.

✨Prepare for Behavioural Questions

Expect questions that assess your problem-solving abilities and teamwork skills. Use the STAR method (Situation, Task, Action, Result) to structure your answers. Think of specific examples from your past experiences that highlight your ability to work in high-performing teams.

✨Ask Insightful Questions

At the end of the interview, have a few thoughtful questions ready. Inquire about the team dynamics, the types of projects you might work on, or how success is measured in the role. This shows your genuine interest in the position and helps you gauge if it's the right fit for you.

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