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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, experience with Snowflake, and advanced SQL proficiency.
- Other info: Diverse workplace culture with excellent career growth and support for certifications.
The predicted salary is between 36000 - 60000 £ 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.
Our Commitment to Diversity & Inclusion: 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.
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 opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data 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 data migration or build scalable pipelines. Being ready to discuss real-world applications will impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. 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 and problem-solving skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen on joining our team!
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 explain your thought process and the challenges you faced.
✨Familiarise Yourself with Snowflake
Since the role involves leading data lake/lakehouse development on Snowflake, make sure you understand its architecture and features. Be prepared to discuss how you've used Snowflake in past projects, including any migration initiatives from legacy systems to the cloud.
✨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 solve SQL problems on the spot or discuss how you've used SQL for analytics in previous roles.
✨Communicate Effectively
Strong communication and stakeholder management skills are essential. Prepare to discuss how you've collaborated with different teams to define data strategies and governance. Practise explaining technical concepts in simple terms, as this will demonstrate your ability to bridge the gap between technical and non-technical stakeholders.
