At a Glance
- Tasks: Design and maintain scalable data pipelines for impactful analytics and reporting.
- Company: Join Ocorian, a leader in simplifying complex operational challenges for clients.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on client success and ethical practices.
- Why this job: Make a real difference by transforming data into actionable insights.
- Qualifications: Degree in relevant field or proven experience in data engineering.
The predicted salary is between 63000 - 77000 £ per year.
Ocorian helps asset managers, private wealth, corporates, and issuer clients handle operational and regulatory complexity at scale, giving them the freedom to focus on what they do best.
Whether they’re raising capital, expanding into new markets, acquiring a business, preparing for an exit or protecting wealth, we’re behind every move our clients make, creating capacity and removing burden so they can focus on growth, opportunity and performance.
With over 50 years’ of expertise, 20 locations and 2,000 expert colleagues, clients know they can rely on us when their challenges are complex, time-critical and consequential.
To find out more about Ocorian and our services, including regulatory information, visit ocorian. com
Job Description
PURPOSE OF THE JOB
As our Data Engineer, you will design, build and maintain scalable data pipelines and infrastructure that power analytics, reporting and data-led decision-making across the organisation.
You will work closely with Power BI analysts, data scientists and business stakeholders to deliver reliable, secure and high-quality data solutions that make a meaningful business impact.
You will bring strong technical expertise across data architecture, ETL processes and cloud platforms, alongside a collaborative approach and a genuine drive to improve how data is structured, accessed and used.
- MAIN RESPONSIBILITIES
- You will design, build and maintain robust ETL and ELT pipelines that provide reliable, high-quality data across the organisation.
- You will create scalable ingestion processes that bring together structured and unstructured data from multiple sources.
- You will develop and maintain modern data warehouses and data lakes that support reporting, analytics and data science.
- You will design effective data models, including dimensional, star and snowflake schemas, to make data easier to access and use.
- You will deploy and manage cloud-based data solutions using Microsoft Fabric and Microsoft SQL Server.
- You will monitor and optimise database, platform and storage performance to improve scalability, resilience and efficiency.
- You will partner with analysts, data scientists and business stakeholders to translate requirements into practical technical solutions.
- You will ensure data is accurate, available and trusted by embedding quality checks throughout pipelines and platforms.
- You will implement appropriate data governance, security, access controls and data protection measures.
- You will ensure solutions meet relevant regulatory, risk and information security requirements.
- You will create clear technical documentation, share knowledge and contribute to continuous improvement across the data environment.
Qualifications
- KNOWLEDGE, SKILLS AND EXPERIENCE
- Degree in Computer Science, Engineering, Mathematics or a related field, or poven experience in data engineering or a related role.
- You will bring strong SQL and Python skills, along with solid database experience across relational and non-relational platforms.
- You will have hands‑on experience building ETL/ELT pipelines using tools such as dbt Cloud, Azure Data Factory or Fabric Pipelines.
- You will have practical experience working with cloud platforms such as Azure, AWS or GCP; relevant cloud certifications would be an advantage.
- You will understand data warehousing concepts and dimensional modelling, and how to design data that is easy to access and use.
- Experience with Microsoft Fabric, Fivetran or Alteryx would be beneficial.
- You will bring strong analytical and problem-solving skills, ideally with an understanding of finance data.
- You will have a high level of attention to detail and a strong commitment to delivering accurate, high-quality data.
- Additional Information
- ADDITIONAL INFORMATION
All employees are expected to embody our core values that underpin everything that we do and that reflect the skills and behaviours we all need to be successful. These are:
- We are
- CLIENT CENTRIC
- Clients are at the centre of our world, and we’re committed to providing expertise and specialist solutions to meet their most complex challenges.
- We are
- AMBITIOUS
- We aim high. We think and act globally, seizing every opportunity to delight our clients and support our colleagues - wherever in the world they may be.
- We are
- AGILE
- We act on our initiative to get things done for our clients. Our independence gives us the flexibility and freedom to keep things simple, efficient and effective.
- We are
- COLLABORATIVE
- With a curious mindset, we ask the right questions to get to the right solution, for our clients faster. We collaborate to win together and share our successes.
- We are
- ETHICAL
- We behave with integrity at all times and assume positive intent, buildingtrust through responsible actions and honest relationships.
- Equal Opportunities for everyone
Please let us know if there’s anything we can do to make the process easier for you. You can reach us at
We’re an equal opportunity employer.
All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.
Data Engineer employer: Ocorian
Ocorian is an exceptional employer that fosters a dynamic and collaborative work culture, perfect for those looking to make a meaningful impact in fund administration. With a strong focus on employee growth and development, we offer comprehensive training and advancement opportunities, ensuring our team members thrive in their careers. Located in the United Kingdom, our agile environment encourages innovation and continuous improvement, making it an ideal place for professionals seeking rewarding and fulfilling employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Ocorian!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Ocorian.
✨Apply Directly through Our Website
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We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Ocorian, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ocorian. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ocorian
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ocorian!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.