Senior Data Engineer

Senior Data Engineer

Full-Time 36000 - 60000 £ / year (est.) No working from home possible
Apexon

At a Glance

  • Tasks: Design and develop data solutions for audit and risk assessment using Python and SQL.
  • Company: Join Apexon, a leading digital-first technology services firm with a global presence.
  • Benefits: Enjoy 25 days holiday, wellness perks, and continuous learning opportunities.
  • Other info: Diverse workplace committed to equal opportunity and professional development.
  • Why this job: Make an impact on critical audit operations while growing your career in a collaborative environment.
  • Qualifications: 7+ years in data engineering with strong Python and SQL skills required.

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.

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: 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: Our 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.

  • 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.

Senior 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.

Apexon

Contact Details:

Apexon Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Engineer

Network Like a Pro

Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Apexon. Building relationships can open doors that a CV just can't.

Show Off Your Skills

When you get the chance to chat with potential employers, don’t hold back! Share your projects, especially those involving Python and SQL. Show them how you’ve tackled real-world problems – it’s all about demonstrating your expertise.

Prepare for the Interview

Do your homework on Apexon and the role of a Senior Data Engineer. Be ready to discuss how your experience aligns with their needs, especially in data modelling and ETL processes. Confidence is key!

Apply Through Our Website

Don’t forget to apply directly 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 Senior Data Engineer

Python
SQL
Data Modeling
ETL/ELT Pipelines
Data Warehousing
Tableau
Data Analysis

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your Python and SQL skills, as well as any experience with data modeling and ETL processes. We want to see how your background aligns with our needs!

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 you can contribute to our team. Be sure to mention any relevant projects or experiences that showcase your skills.

Showcase Your Technical Skills:In your application, don't forget to highlight your technical expertise. Mention specific tools and technologies you've worked with, like Tableau or cloud platforms. We love seeing candidates who are up-to-date with the latest trends in data engineering!

Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Apexon

Know Your Data Inside Out

Make sure you brush up on your data modelling skills and be ready to discuss your experience with SQL and Python. Be prepared to explain how you've designed and maintained data solutions in previous roles, especially in relation to audit and risk assessment.

Showcase Your Collaboration Skills

Since this role involves working closely with auditors and cross-functional teams, think of examples where you've successfully collaborated in the past. Highlight your communication skills and how you ensure that technical solutions align with business objectives.

Prepare for Technical Questions

Expect to dive deep into technical discussions about ETL/ELT pipelines and data warehousing solutions. Brush up on your knowledge of both relational and NoSQL databases, and be ready to discuss any big data platforms you've worked with, like Hadoop or Snowflake.

Demonstrate Your Problem-Solving Abilities

Be ready to tackle hypothetical scenarios or case studies during the interview. Think about how you would approach data integrity checks or optimising dashboard performance, and articulate your thought process clearly to showcase your analytical thinking.