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: Newcastle/Sunderland, UK

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.