At a Glance
- Tasks: Design and build data pipelines that power predictive algorithms and business insights.
- Company: Join a dynamic team at a leading tech company in Bournemouth.
- Benefits: Full-time role with competitive salary and opportunities for growth.
- Other info: Collaborative environment with a focus on innovation and professional development.
- Why this job: Make a real impact on data-driven decisions in the banking sector.
- Qualifications: Experience in ETL/ELT, Python, SQL, and cloud platforms required.
The predicted salary is between 45000 - 55000 £ per year.
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- Direct message the job poster from Evantis Recruitment
- Lead Technical Recruiter (UK & EU) at Okeva
- FTE
- Bournemouth, UK
- 5 Days onsite a week Mandatory
We are seeking a skilled Data Engineer to join our dynamic team.
You will be responsible for designing, building, and maintaining robust data pipelines that power predictive algorithms and business insights.
Your work will directly impact the bank’s ability to manage cash efficiently and make data-driven decisions.
Key Responsibilities
- End-to-End Data Pipeline Development
- Design, implement, and maintain scalable
ETL/ELT pipelines for collecting, transforming, and delivering data across systems.
- Ensure data quality, reliability, and timeliness throughout the pipeline.
- Data Integration & Movement
- Develop secure and efficient solutions for data movement between internal and external systems.
- Work with both structured and unstructured data sources .
- Analytical Insights
- Analyze large datasets to extract actionable insights and present findings in a business-friendly format.
- Collaborate with data scientists and business stakeholders to identify opportunities for impactful analysis.
- Algorithm Support
- Provide clean, well-structured data to support predictive models and algorithms for cash forecasting and fund movement.
- Work closely with product, engineering, and business teams to understand requirements and deliver solutions.
- Document processes and share knowledge with team members.
- Required Qualifications
- Proven experience in designing and building data pipelines (ETL/ELT) using modern technologies (Python, SQL, Spark, Airflow, etc.).
- Strong analytical skills with the ability to interpret complex data and deliver business value.
- Experience integrating data from multiple sources and systems.
- Familiarity with cloud data platforms
(AWS, Azure, GCP) and big data technologies.
- Ability to work independently and collaboratively in a fast-paced environment.
- Excellent communication and documentation skills.
- Preferred Qualifications
- Awareness or experience with financial concepts , especially in banking or cash management.
- Experience supporting predictive analytics or machine learning workflows .
- Knowledge of data governance, security, and compliance in financial services.
- Seniority level
- Mid‑Senior level
- Employment type
- Full‑time
- Job function
- Other
- Industries
- Technology, Information and Media
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Data Engineer in Bournemouth employer: Evantis Recruitment
As a leading recruitment firm in Bournemouth, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. We offer competitive benefits, continuous professional development opportunities, and a supportive environment where your contributions directly impact business success. Join us to be part of a dynamic team dedicated to delivering exceptional data solutions while enjoying the vibrant lifestyle that Bournemouth has to offer.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Bournemouth
✨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 Evantis Recruitment!
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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 Evantis Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Evantis Recruitment, 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 in Bournemouth
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 Evantis Recruitment, 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 Evantis Recruitment. 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 Evantis Recruitment
✨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 Evantis Recruitment!
✨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.