At a Glance
- Tasks: Implement and evolve SaaS data products, ensuring robust integration and optimisation.
- Company: Join Data Intellect, a leading consultancy turning big data into smart solutions.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship and continuous learning opportunities.
- Why this job: Make a real impact by solving complex data challenges in various industries.
- Qualifications: 2+ years of Python experience and strong knowledge in data science and engineering.
The predicted salary is between 70000 - 90000 £ per year.
At Data Intellect it has never been just about data or technology, they are our tools. Implement, configure and evolve SaaS data products within client environments, taking solutions from initial onboarding through to long-term adoption and optimisation.
Own the technical delivery of SaaS implementations, ensuring products are robustly integrated into client data platforms, workflows and operating models. Work on long-running client engagements, developing a deep understanding of client needs and acting as a trusted technical partner over time.
Design and implement integration patterns, data pipelines and solution architectures that enable SaaS products to scale effectively for each client. Deliver high-quality, production-ready solutions, balancing product constraints with client-specific requirements and best practice engineering standards.
Collaborate closely with product, engineering and client stakeholders to influence roadmaps, enhancements and implementation approaches. Provide technical leadership and mentoring to junior team members, including guidance on SaaS delivery patterns, integration approaches and good engineering practices.
Contribute to and help shape our learning & development ecosystem, sharing implementation learnings, patterns and reusable assets across teams. Identify and recommend improvements to product usage, configuration or architecture based on real-world client exposure.
Produce clean, maintainable and well-documented solutions aligned to product standards and client specifications. Continue to build your own capability through hands-on delivery, certification and exposure to multiple clients and industries.
Experience and skills required:
- Minimum 2+ years Python experience in Data Science and Engineering
- In-depth knowledge across data science and engineering and software delivery
- Development and delivery experience of data-driven applications and solutions
- Capable of task estimation, proactive and autonomous
- Solid knowledge of SDLC, agile and appropriate tooling
- Breadth of L3 support experience
- Excellent communication skills across peers, leadership and clients; both business and technical
A little background on DI: Simply put - we turn big data problems into smart data solutions. At our core, Data Intellect is a data and technology consultancy firm. Our key area of expertise is financial and capital markets technology solutions. However, the utility of these solutions allows us to apply fintech data expertise to other industries such as smart energy and healthcare.
This proprietary offering is complemented by a wealth of experience in data engineering, electronic trading systems, data capture applications, regulatory and compliance systems and middle and back-office enterprise web solutions.
Fair employment and equal opportunities: Data Intellect is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available on request throughout the assessment and selection process.
Welcome to Data Intellect.
Data Engineer -Python & Big Data in Belfast employer: Data Intellect
At Data Intellect, we pride ourselves on fostering a collaborative and inclusive work culture that empowers our employees to thrive. As a Data Engineer, you will have the opportunity to work on impactful projects across various industries, with access to continuous learning and development resources that support your career growth. Our commitment to diversity and equal opportunities ensures that every team member feels valued and supported in their professional journey.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer -Python & Big Data in Belfast
✨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 Data Intellect!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer -Python & Big Data at Data Intellect.
✨Leverage Professional Networks
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 Data Intellect.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer -Python & Big Data at Data Intellect, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer -Python & Big Data in Belfast
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 Data Intellect, 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 Data Intellect. 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 Data Intellect
✨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 Data Intellect!
✨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.
