At a Glance
- Tasks: Engage with clients to understand data needs and implement innovative solutions.
- 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.
- Why this job: Make an impact from day one while working on diverse projects with talented individuals.
- Qualifications: Proficient in SQL and Python, with a 2.1 degree in Computer Science or related field.
- Other info: Opportunity to work in a stimulating environment and learn from industry experts.
The predicted salary is between 64000 - 88000 £ per year.
Newcastle based - 5 days onsite
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.
Senior Data Engineer - £80k - £110k employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - £80k - £110k
✨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
Showcase your problem-solving skills by preparing examples of how you've tackled complex data challenges in previous roles. This aligns with their emphasis on curiosity and a solution-oriented mindset, which are key traits they value.
✨Tip Number 3
Research the company’s culture and values thoroughly. Be ready to discuss how your personal values align with theirs, particularly around collaboration, ownership, and motivation. This will help you stand out as a candidate who fits well within their team.
✨Tip Number 4
Prepare to articulate your understanding of the financial services sector, even if you don't have direct experience. Showing a willingness to learn and an interest in the industry can set you apart from other candidates.
We think you need these skills to ace Senior Data Engineer - £80k - £110k
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, particularly with SQL and Python. Emphasise any relevant projects or roles that showcase your ability to manage complex data tasks and your attention to detail.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and how it can solve business problems. Mention your curiosity and willingness to learn, as these traits align with the company's culture. Be sure to relate your skills to the specific responsibilities outlined in the job description.
Showcase Communication Skills: Since effective communication is key for this role, consider including examples of how you've successfully explained complex data concepts to non-experts in previous positions. This will demonstrate your ability to collaborate with clients and stakeholders.
Highlight Relevant Experience: If you have experience in the financial services sector, make sure to mention it. Even if it's not essential, it could give you an edge. Discuss any projects where you’ve worked with diverse data sets or implemented data governance methodologies.
How to prepare for a job interview at Oliver Bernard
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL and Python in detail. Bring examples of past projects where you used these languages to solve complex data problems, as this will demonstrate your proficiency and ability to deliver high-quality analysis.
✨Emphasise Communication Abilities
Since the role requires effective communication with clients and non-experts, practice explaining complex data concepts in simple terms. Highlight any previous experiences where you successfully communicated technical information to stakeholders.
✨Demonstrate Curiosity and Problem-Solving Skills
Prepare to discuss how you've approached challenging data issues in the past. Show your intellectual curiosity by asking insightful questions about the company's data needs and how you can contribute to solving them.
✨Align with Company Culture
Research the company’s values and culture, particularly their emphasis on collaboration, ownership, and positivity. Be ready to share examples from your past that reflect these values, showing that you would be a great fit for their team.