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Data Engineer

4 weeks ago

Dublin, Dublin City, Ireland LearnUpon Full time

LearnUpon is looking for a Data Engineer to join our team in Dublin, Ireland.

LearnUpon LMS helps organizations train their employees, partners, and customers. Businesses can manage, track, and achieve their unique learning goals — all through a single, powerful solution.

With offices in Dublin (our HQ), Belgrade, Philadelphia, Salt Lake City and Sydney, we are a global team with lots of diverse cultures, backgrounds, and experiences that puts our customers' experience at the heart of everything we do. Our culture fosters an open, collaborative and supportive environment where our accomplishments are celebrated and encouraged. We're always striving for the best solution (not the easy one). We're proud of our success and we're humble and hungry to achieve more.

As a Data Engineer in our Business Intelligence team, you will be responsible for building and maintaining data solutions, creating efficient data pipelines, and ensuring data quality and accessibility for LearnUpon's core product and data warehouse. You'll participate in developing scalable data solutions and contribute to our great company culture.

What will I be doing?

  • Consistently deliver impact by completing assigned data engineering tasks and meeting agreed commitments
  • Design and implement well-reasoned data solutions for assigned projects, focusing on quality and craftsmanship
  • Collaborate primarily within your team, actively engaging to gain alignment and deliver customer value through data-driven insights
  • Proactively seek to understand LearnUpon's data systems, technologies, processes, and decisions
  • Continuously improve team processes and data quality
  • Maintain AI models and the associated infrastructure
  • Informally mentor and support onboarding of team members in data-related tasks
  • Participate in interviewing to attract world-class data engineering candidates
  • Align your day-to-day work with the team's vision, mission, and strategy for data management and utilization

What skills do I need?

  • 4+ years experience in data engineering, working with large-scale data processing systems
  • Proficiency in SQL and experience with at least one programming language (e.g. Python, Java, or Scala)
  • Understanding of data modeling, ETL processes, and data warehousing concepts
  • Experience with cloud-based data technologies
  • Demonstrated working knowledge of AWS, particularly with key services such as EC2, S3, RDS, and Lambda
  • Knowledge of data pipeline tools and orchestration frameworks
  • Ability to work effectively in an Agile environment
  • Strong problem-solving skills and attention to detail
  • Excellent communication skills in English, both written and verbal
  • Curiosity and eagerness to learn new data technologies and best practices
  • Commitment to putting the customer at the heart of everything you do
  • Willingness to take ownership of your work and act like an owner
  • Experience with MySQL, Snowflake, Airflow, Fivetran, & Superset

Don't worry if you don't tick every box in order to apply, we're always happy to review applications and take all experience into consideration. We do our best to provide feedback where we can

Why work with us?

  • Competitive salary and company ESOP
  • Comprehensive private health insurance scheme and Company pension scheme
  • 25 days annual leave + 1 annual company wellness day off
  • Work in a fun and supportive environment with regular team events
  • Excellent career progression - take LearnUpon where you think it can go

What is the Hiring Process?

Our typical process generally works as follows:

  • Qualified applicants will be invited to schedule a screening call
  • Successful candidates will then be invited to a series of practical interviews
  • Finally, candidates will have a short interview with a member of our C-Suite Team
  • The successful candidate will be contacted with an offer to join our team

LearnUpon is an Equal Opportunities Employer.

We do not discriminate on the basis of gender, marital status, family status, age disability, sexual orientation, race, religion, membership of the Traveller community, or any other legally protected status.

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