National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineer

Apexon
West Midlands
2 months ago
Create job alert

Description

Position at Saggezza UK

About Apexon:

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 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. 

We enable #HumanFirstDIGITAL

Key Responsibilities: • Design, develop, and maintain logical and physical data models to support audit and risk assessment processes. • Build, maintain and optimize data pipelines and data warehousing solutions for structured and unstructured data. • Develop and implement reporting and analytics solutions using tools such as Python and Tableau. • Design and develop interactive dashboards that effectively communicate audit insights and risk assessments. • Collaborate with auditors, business stakeholders, and IT teams to understand data requirements and carry out data analysis to ensure alignment with audit objectives. • Perform data validation, integrity checks, and governance to ensure consistency and compliance with regulatory requirements. • Utilize SQL, data modeling tools (., Erwin, Visio), and scripting languages to define and implement database solutions. • Develop and maintain data dictionaries, metadata management, and schema documentation. • Document data structures, business logic, and workflows to ensure transparency and knowledge sharing within the team. • Optimize dashboard performance and usability by implementing best practices in data visualization ________________________________________ Required Qualifications: • Bachelor's or Master’s degree in Data Science, Computer Science, Information Systems, or a related field. • 5+ years of experience (hands on) in one or more of these disciplines - data engineering/data modeling & data architecture / database design / data science & analytics • Expertise in SQL & Database design constructs, entity relationship modeling, dimensional modeling. • Experience in Relational and NoSQL databases (., Oracle, Sybase, SQL Server, PostgreSQL, MongoDB) • Experienced in big data technologies like Hadoop & Snowflake • Prior experience of working with ETL tools or as a SQL developer. • Hands-on experience working with reporting and analytics tools such as Tableau and Python • Familiarity with cloud platforms (AWS, Azure, or GCP) • Knowledge of internal audit processes, risk management, and compliance frameworks is highly desirable. • Strong problem-solving, analytical, and critical-thinking skills. • Excellent communication and collaboration skills to work effectively with cross-functional teams. • Ability to work in a fast-paced, dynamic environment and handle multiple priorities. ________________________________________ Nice to have : • Experience with data modeling tools such as Erwin, ER Studio, Lucidchart, or PowerDesigner • Experience in financial, banking, or regulatory environments. • Knowledge of data governance and data lineage tools

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 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. You can read about our Job Applicant Privacy policy here Job Applicant Privacy Policy (

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 Apexon Associate, you get continuous skill-based development, opportunities for career advancement, and access to comprehensive health and well-being benefits and assistance.

We also offer:

oUp to 10% bonus (based on company and personal performance).

oAn employer pension scheme

o25 days holiday + Statutory bank holidays, with the option to carry forward or 'cash-in' 5 days each year

oAccess 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

oLife Insurance & Income protection

oEnhanced Maternity Pay & Paternity Pay

oCycle to work scheme.

oTravel loan scheme

oA Tech Scheme which lets you choose from over 5000 tech products at up to a 12% discount.

oFree unlimited Udemy account for every employee to support their continuous learning and improvement.

oSupport in obtaining relevant certifications.

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.

Data Science Jobs Salary Calculator 2025: Find Out What You Should Earn in the UK

Why last year’s pay survey is already out of date for UK data scientists “Am I being paid enough?” Every data professional eventually asks that question—often after a teammate reveals a hefty counter‑offer, a recruiter shares a six‑figure opening, or a headline trumpets the latest multimillion‑pound AI investment. Yet salary guides published even twelve months ago belong in a museum. Generative‑AI hype re‑priced Machine‑Learning Engineer roles, LLM fine‑tuning turned Prompt Engineering into a genuine career path, & fresh regulation forced companies to hire Responsible‑AI Officers on senior‑scientist money. To cut through the noise, DataScience‑Jobs.co.uk distilled a transparent, three‑factor formula. Insert your role, your region, & your seniority, and you’ll get a realistic 2025 salary benchmark—no stale averages, no vague ranges. This article walks you through the formula, examines the forces pushing data‑science pay ever higher, and offers five concrete actions to boost your market value within ninety days.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.