Senior Data Engineer

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, Dev Ops, 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.

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.

• 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 No
  
  SQL platforms.

• 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.

• Ensure compliance with data governance standards and regulatory requirements.
• Maintain accurate data dictionaries, metadata, and workflow documentation for transparency and team collaboration.

• 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.

• 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 No
  
  SQL databases such as Oracle, Sybase, Postgre
  
  SQL, SQL Server, Mongo
  
  DB.
• 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.

• Experience with data modeling tools such as ER Studio, Power Designer, 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.

• Work on impactful projects that support…