Data Engineer

1 month ago

Sunderland Tyne and Wear, United Kingdom Apexon Full time

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 an Associate Data Engineer to join our growing team. You will receive coaching, training, and guidance from our talented Data practice in the UK to help you grow your knowledge and skills required.

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 delivery

You’ll have:

  • Bachelor’s degree in data engineering, data science or related degree with a 2:1 or above.
  • Database Skills (MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra or similar)
  • Excellent SQL skills.
  • Skills in developing data visualizations (e.g. 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, e.g. 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

We also offer:

  • Up to 10% bonus (based on company and personal performance).
  • An employer pension scheme
  • 25 days holiday + 8 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

Don’t tick all the boxes? Don’t worry about it: we still want to hear from you if you think you’re the right person for the job.

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