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For Companies 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.
- 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.
- Other info: Diverse workplace with excellent career growth and upskilling opportunities.
The predicted salary is between 28800 - 48000 ÂŁ 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. 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 & Reporting
- Develop and implement reporting and analytics using Python, SQL, and Tableau.
- Create interactive dashboards that clearly present insights, audit findings, and risk assessments.
- Work closely with auditors, stakeholders, and IT teams to gather data requirements and ensure technical solutions align with audit objectives.
- Perform comprehensive data analysis, validation, and integrity checks.
Data Governance & Documentation
- Ensure compliance with data governance standards and regulatory requirements.
- Maintain accurate data dictionaries, metadata, and workflow documentation for transparency and team collaboration.
Optimization & Best Practices
- Optimize dashboard and data pipeline performance through best practices in data visualization and coding standards.
- Contribute to the evolution of internal audit data strategy by integrating new technologies and frameworks.
Required Qualifications
- Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, or a related field.
- 7+ years of hands‑on experience in data engineering, data modeling, data architecture, or analytics.
- Expertise in SQL, entity‑relationship modeling, and dimensional data modeling.
- Experience with relational and NoSQL databases such as Oracle, Sybase, PostgreSQL, SQL Server, MongoDB.
- Familiarity with big data platforms (e.g., Hadoop, Snowflake).
- Prior experience with ETL tools or as a SQL developer.
- Proficiency in Python for data engineering and Tableau for reporting and dashboards.
- Exposure to cloud platforms like AWS, Azure, or Google Cloud Platform.
- Strong analytical thinking and problem‑solving skills.
- Excellent communication and collaboration abilities across technical and business teams.
- Ability to thrive in a fast‑paced, high‑demand environment with multiple priorities.
Nice to Have
- Experience with data modeling tools such as ER Studio, PowerDesigner, or Lucidchart.
- Background in financial services, banking, or regulatory environments.
- Familiarity with internal audit processes, risk management, or compliance frameworks.
- Understanding of data lineage, data governance tools, and best practices in metadata management.
Why Join Us?
- Work on impactful projects that support critical audit and risk operations
- Be part of a collaborative, expert-driven environment
- Access to continuous learning, development, and career growth opportunities
Our Commitment to Diversity & Inclusion
Did you know that Apexon has been Certified™ by Great Place To Work®, the global authority on workplace culture, in each of the three regions in which it operates: USA (for the fourth time in 2023), India (seven consecutive certifications as of 2023), and the UK.
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 Benefits
- 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
- 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
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Information Technology
Industries
- IT Services and IT Consulting
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Python Data Engineer employer: Apexon
Contact Detail:
Apexon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Data Engineer
✨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 Python projects, especially those involving data pipelines or cloud solutions. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Python, Snowflake, and data migration. Practising with mock interviews can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Python Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Python Data Engineer role. Highlight your experience with Python, Snowflake, and any relevant cloud platforms. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've designed data pipelines or worked with APIs using Django/Flask. This gives us a clear picture of your hands-on experience and problem-solving abilities.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to highlight your key achievements. We appreciate straightforward communication!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Apexon
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially around batch and streaming data processing. Be ready to discuss specific projects where you've implemented scalable data pipelines, as this will show your practical experience.
✨Familiarise Yourself with Snowflake
Since the role involves working with Snowflake, take some time to understand its architecture and features. Prepare to talk about any previous experiences you have with cloud data platforms and how you've led migration initiatives from legacy systems.
✨Showcase Your API Knowledge
Be prepared to discuss your experience with Django and Flask for developing integration services and APIs. Think of examples where you've successfully built or maintained these services, as it will demonstrate your technical leadership in this area.
✨Communicate Effectively
Strong communication skills are key, especially when collaborating with stakeholders. Practice articulating your thoughts clearly and concisely, and be ready to explain complex technical concepts in a way that non-technical team members can understand.
