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- Tasks: Design and build scalable data solutions using Python and cloud technologies.
- Company: Apexon, a digital-first tech firm focused on innovation and transformation.
- Benefits: 25 days holiday, wellness resources, continuous learning, and career advancement opportunities.
- Why this job: Join a diverse team and make an impact in the digital landscape with cutting-edge technology.
- Qualifications: Strong Python skills, experience with Snowflake, and advanced SQL proficiency.
- Other info: Dynamic work environment with a commitment to diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
Apexon Birmingham, England, United Kingdom
Apexon Birmingham, England, United Kingdom
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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 OverviewWe 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 & InclusionDid you know that Apexon has been CertifiedTM 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 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.
We also offer:
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
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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 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 words.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and cloud data platforms knowledge. Be ready to discuss your past experiences with data migration and how you tackled challenges in previous roles.
✨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.
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, data pipelines, and cloud platforms like Snowflake. We want to see how your skills match 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 background makes you a great fit for Apexon. Let us know what excites you about the role!
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with data pipelines, APIs, or cloud migrations. We love seeing practical examples of your skills in action.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. 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 in batch and streaming data processing. Be ready to discuss specific projects where you've implemented scalable data pipelines, as this will show your hands-on experience.
✨Familiarise Yourself with Snowflake
Since the role involves leading migration initiatives to Snowflake, it’s crucial to understand its architecture and features. Prepare to talk about any previous experiences you have with cloud data platforms and how you’ve tackled challenges in data migration.
✨Showcase Your SQL Expertise
Advanced SQL proficiency is a must for this position. Be prepared to solve SQL queries on the spot or discuss how you've optimised performance in past projects. This will demonstrate your analytical skills and problem-solving abilities.
✨Communicate Clearly with Stakeholders
The role requires collaboration with various stakeholders, so practice articulating your thoughts clearly. Think of examples where you’ve successfully managed stakeholder expectations or defined data strategies, as this will highlight your communication skills.
