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- Tasks: Design and optimise scalable data solutions using Python and cloud technologies.
- Company: Join Apexon, a digital-first tech firm transforming businesses globally.
- Benefits: Enjoy 25 days holiday, health perks, and continuous learning opportunities.
- Why this job: Make an impact in a dynamic environment with cutting-edge data technologies.
- Qualifications: Strong Python skills and experience with cloud data platforms required.
- Other info: Diverse workplace committed to equal opportunity and career growth.
The predicted salary is between 28800 - 43200 £ per year.
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.
About the Role: We are looking for an experienced Python Data Engineer to design, build, and optimize scalable data solutions. The role involves developing modern data pipelines, enabling cloud-based data lakehouse platforms, and leading migration initiatives from legacy systems to the cloud. The ideal candidate will have strong expertise in data modeling, advanced SQL, and cloud data ecosystems.
Key Responsibilities- Design and implement scalable data pipelines for batch and streaming processing using Python.
- Lead data lake/lakehouse development and migration initiatives on Snowflake.
- Develop and maintain integration services and APIs using Django/Flask.
- Architect and execute migration strategies from legacy platforms to modern cloud environments.
- Collaborate with stakeholders to define data strategy, governance, and architecture standards.
- Provide technical leadership on cloud data platforms (AWS, Snowflake).
- Work with various RDBMS systems (Sybase IQ, Oracle, SQL Server, PostgreSQL) to ensure smooth data integration and transformation.
- Ensure best practices for data security, scalability, and performance.
- Strong programming experience with Python (batch & streaming data processing).
- Proven expertise in Snowflake and cloud data platforms (AWS).
- Advanced proficiency in SQL for analytics and performance tuning.
- Experience with APIs and integration frameworks using Django/Flask.
- Solid understanding of data migration architecture (legacy to cloud).
- Experience across multiple RDBMS platforms (Sybase IQ, Oracle, SQL Server, PostgreSQL).
- Excellent problem-solving, communication, and stakeholder management skills.
- Exposure to data governance and compliance frameworks.
- Knowledge of modern streaming platforms (Kafka, Spark Streaming, etc.).
- Experience in designing end-to-end enterprise data strategies.
Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace. We take affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard to gender, race, color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.
Our Perks and BenefitsOur benefits and rewards program has been thoughtfully designed to recognize your skills and contributions, elevate your learning/upskilling experience and provide care and support for you and your loved ones. As an Apexer, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance.
- An employer pension scheme
- 25 days holiday + Statutory bank holidays, with the option to carry forward or 'cash-in' 5 days each year
- Access to YuLife wellness platform, subscription to Meditopia App, premium subscription to Fiit, life coaching & emotional wellbeing sessions, 24 / 7 virtual GP Access, Employee Assistance Programme
- Life Insurance & Income protection
- Enhanced Maternity Pay & Paternity Pay
- Cycle to work scheme.
- Travel loan scheme
- A Tech Scheme which lets you choose from over 5000 tech products at up to a 12% discount.
- Free unlimited Udemy account for every employee to support their continuous learning and improvement.
- Support in obtaining relevant certifications.
Don’t worry if you don’t check all the boxes; we’d still love to hear from you.
Data Engineer (Python) employer: Apexon
Contact Detail:
Apexon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Python)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Apexon. A friendly chat can sometimes lead to job opportunities that aren't even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Python and cloud platforms like Snowflake. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering scenarios. Think about how you'd tackle real-world problems using Python and SQL. Practising these will help you feel more confident when discussing your experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the Apexon team.
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your Python skills, experience with Snowflake, and any cloud data platforms you've worked with. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your experience can help us at Apexon. Be genuine and let your personality come through.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building data pipelines or migrating systems to the cloud, we love seeing real-world examples of your work. It helps us understand your hands-on experience.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at Apexon!
How to prepare for a job interview at Apexon
✨Know Your Python Inside Out
As a Data Engineer, you'll be expected to have strong programming skills in Python. Brush up on your knowledge of batch and streaming data processing, and be ready to discuss specific projects where you've implemented these skills. Prepare to answer technical questions that test your understanding of Python's libraries and frameworks.
✨Familiarise Yourself with Snowflake and Cloud Platforms
Since the role involves working with Snowflake and cloud data platforms like AWS, make sure you understand their functionalities and best practices. Be prepared to discuss your experience with data lakehouse development and migration strategies, as well as any challenges you've faced and how you overcame them.
✨Showcase Your SQL Skills
Advanced proficiency in SQL is crucial for this position. Practice writing complex queries and optimising performance. During the interview, be ready to demonstrate your analytical skills by discussing how you've used SQL for data integration and transformation in past projects.
✨Communicate Effectively with Stakeholders
Strong communication and stakeholder management skills are essential. Think of examples where you've collaborated with different teams to define data strategy or governance. Be prepared to explain how you ensure that all stakeholders are aligned and informed throughout the data engineering process.
