Data Engineer with Azure

Apexon
London
1 month ago
Applications closed

Related Jobs

View all jobs

Azure Data Engineer - Insurance Firm – London – hybrid working

Data Engineer

Power Automate Data Engineer

Power Automate Data Engineer

Lead Data Engineer

Lead 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, 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 Title: Data Engineer with Azure Experience

Location: Sunderland, UK (Remote)


About the Role

We are seeking a talented and motivatedData Engineerwith hands-on experience inAzure cloud technologiesto join our team in Newcastle/Sunderland. The ideal candidate will play a key role in designing, building, and optimizing data pipelines, integrating various data sources, and supporting the development of scalable data architectures. This is a great opportunity for an individual who is passionate about data engineering and keen to work with modern cloud solutions.


Key Responsibilities

  • Design, develop, and maintain ETL pipelinesusing Azure services, with a focus onAzure Synapse AnalyticsandAzure Data Factory.
  • Develop and optimizeETL processesleveragingNotebooksto ensure efficient data movement and transformation.
  • Collaborate with data analysts and business intelligence teams to develop and maintainPower BI semantic modelsandreports.
  • Integrate variousdata sources, includingOracle technologies, into Azure environments for seamless data access and analysis.
  • Contribute to the design and implementation ofAzure networking solutionsto support data flows and connectivity.
  • Ensure data pipelines are highly available, scalable, and secure by leveragingAzure best practices.
  • Terraformknowledge is advantageous but not mandatory; willingness to learn and support Infrastructure-as-Code (IaC) initiatives will be appreciated.
  • Collaborate with cross-functional teams to ensure smooth delivery of data engineering projects.


Key Skills & Qualifications

  • Proven experience as aData Engineeror in a similar role, with expertise inAzure cloud services.
  • Strong hands-on experience withAzure Synapse AnalyticsandAzure Data Factoryfor data integration, transformation, and orchestration.
  • Proficiency in designing and managingETL processesusing Notebooks.
  • Experience withPower BIforsemantic modelcreation andreport development.
  • Familiarity with integratingOracle data sourceswithin Azure environments.
  • Basic understanding ofAzure networking conceptsand their relevance to data engineering.
  • Knowledge ofTerraformis beneficial but not required.
  • Excellent problem-solving and communication skills.


Preferred Qualifications

  • Experience with additional Azure services likeAzure Data Lake,Azure SQL Database, orAzure Databricks.
  • Familiarity withInfrastructure-as-Code(IaC) practices.
  • Strong knowledge ofdata governanceandsecurity best practicesin the cloud.
  • Previous experience in aDevOpsenvironment with CI/CD pipelines.


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 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.

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.

Careers

Navigating Data Science Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Data science has taken centre stage in the modern workplace. Organisations rely on data-driven insights to shape everything from product innovation and customer experience to operational efficiency and strategic planning. As a result, there is a growing need for skilled data scientists who can analyse large volumes of data, build predictive models, communicate findings effectively, and collaborate cross-functionally. If you are looking to accelerate your data science career—or even land your first role—attending data science career fairs can be a game-changer. Unlike traditional online applications, face-to-face interactions let you showcase your personality, passion, and communication skills in addition to your technical expertise. However, to stand out in a busy environment, you need a clear strategy: from polishing your personal pitch and asking thoughtful questions to following up with a memorable message. In this article, we’ll guide you through every step of making a strong impression at data science career fairs in the UK and beyond.

Jobs

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.

Careers

Career Paths in Data Science: From Entry-Level Analysis to Leadership and Beyond

Data is the lifeblood of modern business, and Data Scientists are the experts who turn raw information into strategic insights. From building recommendation engines to predicting market trends, the impact of data science extends across virtually every industry—finance, healthcare, retail, manufacturing, and beyond. In the UK, data-driven decision-making is critical to remaining competitive in a global market, making data science one of the most sought-after career paths. But how does one launch a career in data science, and how can professionals progress from entry-level analysts to senior leadership roles? In this comprehensive guide, we’ll explore the typical career trajectory, from junior data scientist to chief data officer, discussing the key skills, qualifications, and strategic moves you need to succeed. Whether you’re a recent graduate, transitioning from another technical field, or an experienced data scientist aiming for management, you’ll find actionable insights on forging a successful career in the UK data science sector.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.