At a Glance
- Tasks: Design and build scalable data solutions using Python and cloud technologies.
- Company: Apexon, a digital-first tech firm focused on business transformation.
- Benefits: 25 days holiday, wellness programs, life insurance, and continuous learning support.
- Other info: Diverse workplace with excellent career growth and upskilling opportunities.
- Why this job: Join a dynamic team and lead innovative data migration projects in the cloud.
- Qualifications: Strong Python skills, experience with Snowflake, and knowledge of SQL.
The predicted salary is between 28800 - 48000 £ per year.
Apexon Birmingham, England, United Kingdom Apexon Birmingham, England, United Kingdom Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Apexon Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. Job Overview We are seeking a highly skilled and detail-oriented Python Data Engineer to join our dynamic audit and risk technology team. Based fully onsite in our Birmingham office , you will play a critical role in designing, developing, and maintaining data solutions that support audit, risk assessment, and compliance processes. This position requires strong data modeling expertise, robust Python and SQL skills, and the ability to collaborate effectively with cross-functional teams. Key Responsibilities Design, develop, and maintain logical and physical data models to support audit and risk assessment activities. Utilize data modeling tools (e.g., Erwin, Visio, Lucidchart ) to create and maintain models that reflect business and technical requirements. Build, optimize, and maintain ETL/ELT pipelines for both structured and unstructured data . Implement scalable and efficient data warehousing solutions on relational and NoSQL platforms. Analytics
Python Data Engineer employer: Apexon
Join a forward-thinking company in Sunderland, UK, where as a Project Manager, you will thrive in a collaborative and innovative work culture that prioritises employee growth and development. With a focus on the Energy and Utility sectors, we offer competitive benefits and the opportunity to work with cutting-edge technology solutions, ensuring that your contributions lead to meaningful impacts for our clients. Our commitment to fostering strong relationships and delivering excellence makes us an exceptional employer for those seeking a rewarding career path.
StudySmarter Expert Advice🤫
We think this is how you could land Python 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 Apexon!
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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 Python Data Engineer at Apexon.
✨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 Apexon.
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When you find a suitable opening like Python Data Engineer at Apexon, 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 Python 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 Apexon, 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 Apexon. 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 Apexon
✨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 Apexon!
✨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.
