Platform Data Engineer

Adobe
Edinburgh
3 months ago
Applications closed

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Our Company


Changing the world through digital experiences is what Adobe's all about. We give everyone from emerging artists to global brands everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos and apps and transform how companies interact with customers across every screen.


We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization and we know the next big idea could be yours!


We are in need of an accomplished Data Engineer to join our team. The preferred candidate will take on the responsibility of crafting, developing and upholding efficient, scalable and dependable data pipelines and infrastructure to bolster our data-driven efforts.


As part of the Adobe Unified Platform we work to solve problems at a scale few other companies face. Our ability to use and understand our data is core to this.


We build high‑availability, easily maintained services that play a critical role for Adobe customers whether they be individuals or multinational enterprises.


There are opportunities in Edinburgh for you to build the services and solutions that help deliver Adobe's vision of the future. You will have the chance to work with a wide variety of engineering teams from across the company.


Key responsibilities

  • Conceptualise, build and manage data pipelines and ETL processes.
  • Work with data scientists, analysts and other collaborators to grasp data needs and provide solutions.
  • Ensure data quality, integrity and security across all data systems.
  • Optimise and improve existing data workflows for performance and scalability.
  • Monitor and fix data pipeline issues and implement solutions.

Required skills

  • Bachelor's degree in Computer Science, Engineering or a related field or equivalent experience is required.
  • Proven experience as a Data Engineer or in a similar role.
  • Strong knowledge of SQL and experience with relational databases.
  • Proficiency in programming languages such as Python, Java or Scala.
  • Familiarity with cloud platforms (e.g., AWS & Azure) and data warehousing solutions (e.g., Redshift, BigQuery, Snowflake).
  • Excellent problem‑solving skills and attention to detail.
  • Strong communication and collaboration skills.

Good to have

  • Experience with data modeling and database design.
  • Understanding data governance and guidelines.
  • Familiarity with machine learning and data science concepts.

What you'll be doing

  • You will work closely with engineering teams to ensure services return accurate information reliably and quickly.
  • You will create tooling and automation to reduce operational burdens.
  • You will encourage the professional and technical growth of those around you.

What you can expect

  • ​A supportive, trusting and transparent working environment.
  • An opportunity to do things differently with an expectation you will challenge assumptions and offer solutions.
  • Collaboration across widely distributed teams.
  • To work in an agile team that has a strong focus on the value it delivers to Adobe and its customers.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on 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. Learn more.


Adobe aims to make accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process email or call .


Key Skills

Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, NoSQL, Big Data, Data Warehouse, Kafka, Scala


Employment Type : Full‑Time


Experience : years


Vacancy : 1


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