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For Companies At a Glance
- Tasks: Develop, test, and maintain a cutting-edge data platform while solving complex data challenges.
- Company: Join a leading tech consulting firm in the Financial Services sector, known for innovation.
- Benefits: Enjoy a highly competitive salary and work with advanced tools in a collaborative environment.
- Why this job: Make an impact from day one and thrive in a fast-paced, dynamic team culture.
- Qualifications: Proven experience in data roles, expertise in SQL, Python, and a degree in Computer Science.
- Other info: This is a full-time, on-site role based in Newcastle upon Tyne.
The predicted salary is between 43200 - 72000 £ per year.
We're working with a leading technology consulting firm in the Financial Services and Alternative Investment sectors, seeking a talented Senior Data Engineer to join their growing team. This is a fantastic opportunity to make an impact from day one, collaborating with a dynamic group of professionals and solving complex data challenges across multiple asset classes.
The Role
As a Data Engineer, you'll be responsible for developing, testing, and maintaining the firm's data platform. You'll work closely with both front office and technology teams to ensure the availability, reliability, and integrity of data. This role offers exposure to a wide variety of data types and provides opportunities to work with cutting-edge tools and technologies. This is a 5 days a week on-site role based in Newcastle.
Key Responsibilities
- Collaborate with front office teams to understand and scope data needs.
- Build and optimise the data platform using in-house and vendor tools.
- Automate data processes and workflows to improve operational efficiency.
- Design and implement data pipelines to integrate internal and external datasets.
- Establish best-practice data design and enforce data quality standards.
- Maintain the availability and integrity of data for critical business functions.
What We're Looking For
- Proven experience in a data specialist role with a passion for solving data-related problems.
- Expertise in SQL, Python, and Apache Spark, with experience working in a production environment.
- Familiarity with Databricks and Microsoft Azure is a plus.
- Financial Services experience is a bonus, but not required.
- Strong verbal and written communication skills, with the ability to explain complex data concepts.
- Exceptional problem-solving abilities, with a focus on delivering scalable and high-quality solutions.
- Ability to thrive in a fast-paced environment and manage multiple tasks simultaneously.
- A degree (2:1 or above) in Computer Science or a related field (preferably from a Russell Group University).
Senior Data Engineer employer: Randstad Technologies
Contact Detail:
Randstad Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network with professionals in the financial services and technology sectors. Attend industry meetups or webinars to connect with potential colleagues and learn more about the company culture at StudySmarter.
✨Tip Number 2
Familiarise yourself with the latest tools and technologies mentioned in the job description, such as SQL, Python, and Apache Spark. Consider working on personal projects or contributing to open-source projects to showcase your skills.
✨Tip Number 3
Prepare for technical interviews by practising common data engineering problems and scenarios. Use platforms like LeetCode or HackerRank to sharpen your problem-solving abilities and get comfortable with coding challenges.
✨Tip Number 4
Research StudySmarter's values and mission. Tailor your conversations during interviews to reflect how your experience aligns with our goals, demonstrating your enthusiasm for contributing to our team.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and Apache Spark. Include specific examples of projects where you've solved data-related problems, especially in a production environment.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your skills align with the responsibilities outlined in the job description. Mention any experience you have with Databricks or Microsoft Azure, even if it's limited.
Showcase Problem-Solving Skills: Provide examples in your application that demonstrate your exceptional problem-solving abilities. Discuss how you've delivered scalable and high-quality solutions in previous roles.
Highlight Communication Skills: Since strong verbal and written communication skills are essential, include instances where you've successfully explained complex data concepts to non-technical stakeholders. This will show your ability to collaborate effectively with front office teams.
How to prepare for a job interview at Randstad Technologies
✨Showcase Your Technical Skills
Be prepared to discuss your expertise in SQL, Python, and Apache Spark. Bring examples of past projects where you successfully used these technologies, especially in a production environment.
✨Understand the Financial Services Sector
While financial services experience is a bonus, having a basic understanding of the sector can set you apart. Research common data challenges faced in this industry and be ready to discuss how you would approach them.
✨Demonstrate Problem-Solving Abilities
Prepare to share specific examples of complex data problems you've solved in the past. Highlight your thought process and the steps you took to deliver scalable and high-quality solutions.
✨Communicate Clearly
Strong verbal and written communication skills are essential. Practice explaining complex data concepts in simple terms, as you'll need to collaborate with both technical and non-technical teams.
