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- Tasks: Join a dynamic team to manage diverse data sets and enhance client capabilities.
- Company: A new Joint Venture in Newcastle, specialising in tech consulting for financial services.
- Benefits: Competitive salary, bonuses, and the chance to shape company culture.
- Why this job: Work on exciting projects with talented individuals in a stimulating environment.
- Qualifications: Proficient in SQL and Python; degree in Computer Science or related field preferred.
- Other info: Opportunity to learn from industry experts and make a real impact.
The predicted salary is between 64000 - 104000 £ per year.
Newcastle based - 5 days onsite
Salaries paying £80k - £130k + Bonuses
Our client is 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. 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. Joining them at this stage offers the exciting opportunity to help define their culture.
Exceptional Talent:They seek individuals with excellent communication skills.
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.
- 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.
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. A can-do attitude and willingness to work as an integral part of the wider data team. Confident verbal and written communication skills, with the ability to explain complex data concepts to non-experts. Financial Services experience is a bonus, but not essential. A degree in Computer Science or a related field, ideally from a Russell Group University.
Diverse Projects:Work on a wide variety of projects alongside exceptionally talented people, often closely correlated to world events and trends.
Learning Opportunities:Learn from industry experts about financial markets and world economies.
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 - Language Data (w/m/d) employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Language Data (w/m/d)
✨Tip Number 1
Network with professionals in the financial services and data engineering sectors. Attend local meetups or industry events in Newcastle to connect with potential colleagues and learn more about the company culture.
✨Tip Number 2
Familiarise yourself with the latest data governance methodologies and tools. Being able to discuss current trends and best practices during your interactions will demonstrate your expertise and enthusiasm for the role.
✨Tip Number 3
Prepare to showcase your SQL and Python skills through practical examples. Consider working on a small project or case study that highlights your ability to analyse complex data sets and automate processes.
✨Tip Number 4
Practice explaining complex data concepts in simple terms. Since the role requires communication with non-experts, being able to convey your knowledge clearly will set you apart from other candidates.
We think you need these skills to ace Senior Data Engineer - Language Data (w/m/d)
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 demonstrate your ability to manage complex data tasks and communicate effectively with stakeholders.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and how it can drive value for businesses. Mention your understanding of the financial services sector and how your skills align with the company's goals. Be sure to convey your enthusiasm for joining a newly established team.
Showcase Relevant Experience: When detailing your work experience, focus on specific examples where you've successfully implemented data governance methodologies or automated data processes. Use metrics to quantify your achievements where possible, as this will help illustrate your impact.
Prepare for Technical Questions: Anticipate technical questions related to data engineering, SQL, and Python during the interview process. Brush up on your knowledge of data platforms and governance practices, and be ready to discuss how you've applied these in previous roles.
How to prepare for a job interview at Oliver Bernard
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in SQL and Python. Bring examples of past projects where you've used these languages to solve complex data problems, as this will demonstrate your hands-on experience and technical expertise.
✨Communicate Clearly
Since the role requires excellent communication skills, practice explaining complex data concepts in simple terms. This will help you connect with interviewers who may not have a technical background, showcasing your ability to bridge the gap between data and business needs.
✨Understand the Company Culture
Research the company’s values and culture, especially since they are a newly established joint venture. Be ready to discuss how you can contribute to defining their culture and how your personal values align with theirs.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and how you handle real-world data challenges. Think of specific scenarios from your past experiences where you successfully navigated complex data issues or improved data governance processes.
