Data Engineer

Apexon
Sunderland
2 weeks ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer - Azure or Snowflake

Data Engineer - Machine Learning - Hybrid

Data Engineer - Python & Azure

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 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. 

We enable #HumanFirstDIGITAL

Are you a Data Engineer looking to work with the latest data and analytics technologies within an environment that actively encourages continuous learning? Do you want to help enable clients to unlock their data potential and value?

About us:

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 centres) across four continents.

We are currently looking to hire a Data Engineer to join our growing team.

You’ll be responsible for: Translating business requirements into technical specifications to ultimately deliver data solutions including integrations, data transformations, warehousing and business intelligence reporting. The design and implementation of data ETL pipelines to extract, transform and load data from client and third-party data sources. Implementing and enforcing data governance policies and processes to ensure data is of the highest quality. Developing and maintaining documentation related to data integration processes, data flows, and data quality. Participating in code reviews with other team members. Creating unit tests for test automation. Balancing pragmatic solutions with best practice and deliveryYou’ll have:Bachelor’s degree in data engineering, data science or related degree with a 2:1 or above. 2-3 years of experience as Data Engineering (REQUIRED). Proven experience as a Data Engineer with a focus on Azure Cloud data Services (. Azure Data Factory, Data Lake, Database Skills (MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra or similar) Excellent SQL skills. Skills in developing data visualisations (. Power BI) Strong programming skills, ideally in Python. Understanding of ETL pipeline development for data source integrations and data transformations. Understanding of data modelling to describe the data landscape, entities and relationships. Strong communication and teamwork skills to collaborate with cross-functional teams effectively. Inquisitive with an eagerness to learn.It would be great if you have:An understanding of cloud technologies. Practical experience through placement or internship. A cloud certification, . Azure DP-900, AZ-900.

We’re committed to providing our people with a great environment to work in. You can expect ongoing skills-based development, career progression as well as health & well-being benefits and support. You’ll work within a friendly and supportive team, working on a variety of projects and you’ll have the chance to obtain relevant certifications along the way!

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:

Up to 10% bonus (based on company and personal performance). An employer pension scheme 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. Travel loan 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.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.