Data Engineer - £45k - £75k
Data Engineer - £45k - £75k

Data Engineer - £45k - £75k

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: As a Data Engineer, you'll analyse data needs and implement innovative solutions for clients.
  • Company: Join a dynamic Joint Venture in Newcastle, specialising in tech consulting for financial services.
  • Benefits: Enjoy competitive salaries, bonuses, and the chance to shape company culture from the ground up.
  • Why this job: Make an impact from day one while working on diverse projects with talented professionals.
  • Qualifications: A minimum 2.1 degree in Computer Science or related field from a Russell Group University is required.
  • Other info: This role is based onsite in Newcastle, fostering collaboration and intellectual curiosity.

The predicted salary is between 36000 - 60000 £ per year.

Newcastle - 5 days a week onsite in Newcastle

Salaries paying £45k - £75k + Bonuses

Minimum 2.1 degree in Computer Science or related field, from a Russell Group University required for this role.

Our client

Our client are a newly created Joint Venture specialising in providing technology consulting services to businesses operating in the Financial Services and Alternative Investment markets. They pride themselves on employing and developing the very best talent in the North East, ensuring unparalleled quality and expertise in every project they undertake. Their goal is to surpass their clients' expectations, solve challenging problems, and deliver innovative solutions. They operate from their home in the heart of Newcastle City Centre, where they are building a team of exceptional people in an intellectually stimulating environment.

Their Culture

  • Exceptional Talent: They seek individuals with excellent communication skills.
  • Collaboration: They do their best work together, both internally and with their clients.
  • Curiosity: They value and embrace curiosity highly.
  • Passion and Positivity: They want people who are passionate, positive, and capable problem solvers.
  • Ownership and Trust: They trust their team to take ownership and go the extra mile when needed.
  • Motivation and Learning: They value highly motivated individuals with a strong desire to learn.

Data Engineering Team

They are building a Data Engineering team to support their clients' needs around the origination, governance, and lifecycle of diverse and varied data sets. You will build relationships directly with their clients' front office and technology teams, using proprietary systems and vendor-sourced data tools to demonstrate the added value of enhanced data capabilities.

Responsibilities

  • Regular interaction with their clients' front office to understand and scope new data needs or capabilities.
  • Exploratory evaluation and analysis of a wide variety of industry data sets.
  • Interaction with and interrogation of various data platforms.
  • Analysis and implementation of data automation tasks and processes.
  • Design and implementation of best-practice and pragmatic data governance methodology.
  • Reviews of data quality monitoring metrics and data quality rule creation.
  • Operation and incremental build-out of the data platform using in-house and vendor data tools.
  • Metadata analysis and data catalogue curation to support data discoverability.
  • Day-to-day data subject matter expert support for the front office across various data sets.

What Makes a Great Candidate

  • Experience in a data specialist role with a passion for working with data and helping stakeholders leverage its value.
  • Highly proficient in SQL and Python with demonstrable work experience using both languages.
  • Ability to produce high-quality analysis while managing complexity.
  • High attention to detail and a drive for excellence.
  • Effective work prioritisation and efficient task management.
  • Intellectual curiosity, initiative, solution-oriented mindset, and a desire to learn.
  • A can-do attitude and willingness to work as an integral part of the wider data team.
  • Ability to complete tasks independently to a high standard with minimal oversight.
  • Confident verbal and written communication skills, with the ability to explain complex data concepts to non-experts.
  • A desire to understand and solve business problems, build domain knowledge, and increase market understanding.
  • Financial Services experience is a bonus, but not essential.
  • A minimum 2.1 degree in Computer Science or a related field, ideally from a Russell Group University.

Why Join Them?

  • Impact from Day One: They empower and trust their people to leverage their skillsets from the start.
  • Diverse Projects: Work on a wide variety of projects alongside exceptionally talented people, often closely correlated to world events and trends.
  • Direct Value Delivery: Deliver demonstrable business value by working hand-in-hand with the customer.
  • Learning Opportunities: Learn from industry experts about financial markets and world economies.
  • Ownership: Engage with a wide range of business functions to leverage your knowledge and exposure.
  • Innovation: Challenge current systems and processes to achieve common goals through technical excellence and innovation.

If you are a great Data Engineer and communicator who loves working on demanding initiatives and solving challenging problems, this could be the right place for you. Join them to make a difference from the heart of Newcastle City Centre.

Data Engineer - £45k - £75k employer: LinkedIn

Our client is an exceptional employer located in the vibrant heart of Newcastle City Centre, offering a unique opportunity to shape the culture of a newly established Joint Venture in technology consulting. With a strong emphasis on collaboration, curiosity, and ownership, they provide a stimulating work environment where talented individuals can thrive, engage in diverse projects, and benefit from continuous learning opportunities. Employees are empowered to make an impact from day one, working closely with clients to deliver innovative solutions that drive real business value.
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Contact Detail:

LinkedIn Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer - £45k - £75k

Tip Number 1

Familiarise yourself with the specific technologies and tools mentioned in the job description, such as SQL and Python. Being able to discuss your experience with these languages in detail during interviews will demonstrate your technical proficiency and readiness for the role.

Tip Number 2

Research the company’s culture and values, particularly their emphasis on collaboration, curiosity, and ownership. Prepare examples from your past experiences that showcase how you embody these traits, as this will help you connect with the interviewers and show that you are a good cultural fit.

Tip Number 3

Network with current or former employees of the company through platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company’s work environment and expectations, which you can leverage during your application process.

Tip Number 4

Prepare to discuss your problem-solving skills and how you've tackled complex data challenges in the past. The role requires a solution-oriented mindset, so having concrete examples ready will help you stand out as a candidate who can deliver value from day one.

We think you need these skills to ace Data Engineer - £45k - £75k

Proficiency in SQL
Proficiency in Python
Data Analysis
Data Governance Methodology
Data Quality Monitoring
Data Automation
Attention to Detail
Effective Task Management
Communication Skills
Problem-Solving Skills
Intellectual Curiosity
Ability to Work Independently
Collaboration Skills
Understanding of Financial Services (bonus)

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in data engineering, particularly your proficiency in SQL and Python. Include specific projects or tasks that demonstrate your ability to manage complexity and deliver high-quality analysis.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data and problem-solving. Mention how your skills align with the company's values of collaboration, curiosity, and ownership. Use examples from your past experiences to illustrate your points.

Showcase Relevant Experience: If you have experience in financial services or have worked on diverse data projects, be sure to highlight this in your application. Discuss how these experiences have prepared you for the role and how you can add value to their team.

Demonstrate Communication Skills: Since effective communication is key for this role, ensure your application reflects your ability to explain complex data concepts clearly. You might include examples of how you've successfully communicated technical information to non-experts in previous roles.

How to prepare for a job interview at LinkedIn

Showcase Your Technical Skills

Be prepared to discuss your proficiency in SQL and Python. Bring examples of past projects where you've successfully used these languages to solve complex data problems, as this will demonstrate your capability and experience.

Demonstrate Curiosity and Problem-Solving

Highlight instances where your curiosity led you to explore new data sets or tools. Discuss how you approached challenges and the innovative solutions you implemented, as this aligns with the company's value of curiosity and problem-solving.

Communicate Clearly

Practice explaining complex data concepts in simple terms. Since the role involves interaction with non-experts, showcasing your ability to communicate effectively will be crucial in the interview.

Emphasise Team Collaboration

Prepare to discuss your experiences working in teams. Share examples of how you collaborated with others to achieve common goals, as the company values teamwork and collaboration highly.

Data Engineer - £45k - £75k
LinkedIn
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  • Data Engineer - £45k - £75k

    Full-Time
    36000 - 60000 £ / year (est.)
  • L

    LinkedIn

    1001-5000
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