At a Glance
- Tasks: Build and maintain Python-driven API integrations for our Azure data infrastructure.
- Company: Join Roma Finance, a diverse and innovative team in Manchester.
- Benefits: Enjoy hybrid working, healthcare, 25 days holiday, and competitive salary.
- Other info: Great career growth opportunities in a supportive and inclusive environment.
- Why this job: Make a real impact by owning integration pipelines and developing your skills.
- Qualifications: Solid Python skills and basic SQL knowledge required; we’ll teach you the rest!
The predicted salary is between 45000 - 50000 £ per year.
Location: Roma Finance, 15 Carnarvon Street, Manchester, M3 1HJ
Benefits: Hybrid Working, WPA – Healthcare, Dental, Optical, Life Assurance (after 3 months) 4 × annual salary, 25 days holiday P.A plus bank holidays.
Hours: 37.5 hours per week
Salary: £45,000.00 – £50,000.00
Working pattern: Hybrid working
The role:
We are looking for a Data Engineer to join our Data & Technology team and play a key hands-on role in building and maintaining our Azure-based data infrastructure. Working directly with the Senior Data Engineer, you will be responsible for developing Python-driven API integrations that connect our core systems to our Azure SQL Data Warehouse, keeping the data flowing reliably to the Power BI reports and dashboards the business depends on. This is a great opportunity for a Python developer with an interest in data engineering who wants to own a real integration pipeline end to end. You do not need to be a data warehouse architect – if you are comfortable with Python and have a grounding in SQL, we can teach you the rest.
Key Responsibilities:
- Build and maintain Python-based API integrations between our source systems (including Creatio CRM) and our Azure SQL Data Warehouse
- Develop, test, and deploy ETL pipelines that pull data from REST APIs, flat files, and other sources
- Work with Azure Logic Apps and Azure Automation to orchestrate data workflows
- Monitor pipeline health and resolve data load failures proactively
- Contribute to the ongoing development and maintenance of our Azure SQL Data Warehouse
- Write and optimise SQL queries, views, and stored procedures to support reporting needs
- Ensure data quality, integrity, and security across the platform – particularly important in a regulated financial services environment
- Help maintain and improve the data model as new source systems and reporting requirements emerge
- Work closely with the Power BI developer to ensure data is structured and available for reporting
- Document integrations, data flows, and pipeline logic clearly so the team can maintain them
- Maintain a data dictionary covering key report elements and data definitions
- Support the team in identifying new data sources or reporting opportunities
Person Specification:
Essential:
- Solid Python development skills – you write clean, maintainable code
- Experience working with REST APIs (consuming and/or building integrations)
- Working knowledge of SQL – you can write queries, joins, and understand relational data; you do not need to be a DBA
- Comfortable working in or learning a cloud environment (Azure experience is a bonus, not a requirement)
- Good communicator who can gather requirements from business stakeholders and translate them into clear technical specifications
- Self-motivated and able to work independently, managing your own priorities
Desirable:
- Experience with Azure services (Logic Apps, Azure SQL, Automation Accounts, Key Vault)
- Familiarity with OData or similar API query standards
- Exposure to Power BI or similar BI tools
- Experience with Jira and Confluence
- Knowledge of data warehousing concepts or ETL patterns
- Familiarity with Git and version control practices
- Exposure to CI/CD concepts – not essential today, but a useful indicator of software engineering maturity
Other qualities:
- Curious and keen to learn – our stack is modern and growing, and we want someone who will grow with it
- Detail-oriented and takes pride in the accuracy and reliability of their work
- A collaborative team player who communicates openly and asks questions when needed
- Pragmatic – you find practical solutions without overcomplicating things
- Comfortable with some ambiguity; we are a growing team and things evolve
Diversity and Inclusion:
At Roma Finance, we believe diversity drives innovation and success. We are committed to creating an environment where everyone, regardless of background, or life experience can thrive. We actively encourage women and individuals from underrepresented groups to apply, even if you don’t meet every single requirement. Your unique perspective matters to us. We value skills, potential, and passion as much as experience, and we are dedicated to supporting your growth through mentorship, flexible working options, and an inclusive culture where every voice is heard. If you are excited about the role but unsure if you tick every box, we would still love to hear from you.
Legal and additional requirements:
- Accept standard background checks including basic DBS and credit check.
- Authorised to work in United Kingdom
- If you need reasonable adjustments at any stage of our recruitment process, please let us know in your application. We are dedicated to providing a fair and transparent assessment process and will do our utmost to accommodate your needs.
Data Engineer in Manchester employer: Roma Finance
At Roma Finance, we pride ourselves on being an excellent employer, offering a supportive and inclusive work culture that fosters employee growth and development. With benefits like hybrid working, comprehensive healthcare, and generous holiday allowances, our Manchester location provides a vibrant environment for Data Engineers to thrive while contributing to innovative data solutions in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Manchester
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Engineer in Manchester
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!
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Craft a Tailored Cover Letter:For a full-time role at Roma Finance, 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 Roma Finance. 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 Roma Finance
✨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 Roma Finance!
✨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.
