Senior Data Engineer - Ireland

Sligo, Ireland

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Who We Are:


Beyond is a leading online furniture and home furnishings retailer, headquartered in the USA, with an innovative Software Development base, in Sligo that build and support the e-commerce platforms for our global retail sites.
 

What We Do:

We innovate to deliver simple, fast, secure, and delightful experiences for our customers, partners, and teams. Our software engineering teams thrive in our positive, open, excellence driven and innovative culture. Our team members play a critical role in keeping that magic.

We are looking for a person with a passion to learn, adapt and help open new doors in data transformation and Business Intelligence. We look for the ability to inspire people with the capabilities offered by new approaches to data engineering and streaming technologies. This is an opportunity to be a technical leader as we pioneer novel approaches.

This role will accommodate hybrid working arrangements.  

What you will do

  • ​Develop and maintain data pipeline architecture to optimize the collection and flow of data for various workgroups.   
  • Identify, design, and implement internal process improvements (automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
  • Reviews internal and external business and product requirements for data operations and activity and recommends improvements to data systems with data and analytics experts to strive for better data systems functionality.
  • Analyze user requirements and based on findings, design and develop graphs, charts, dashboards, and other Business Intelligence software solutions.
  • Consult and provide support for customers about BI apps design and maintenance.
  • Builds processes supporting data transformation, data structures, metadata, dependency, and workload management.
  • Develop and maintain logical data models, including star schema, snowflake schema, Third Normal Form (3NF), dimensional data models, and other foundational data warehouse principles.
  • Ensure proper data governance policies are followed by implementing or validating Data Lineage, Quality checks and classification.

Skills required

  • ​Five plus years of working SQL knowledge and experience with relational databases and NoSQL databases.
  • Strong experience with UNIX, Linux, Shell scripting, Python, JavaScript, and JSON.
  • Knowledge of GCP (Google Cloud Platform) technologies, including Cloud Functions, Big Query, Pub/Sub.
  • Extensive experience in ETL (Extract, Transform, Load) processes and data transformation using tools and techniques such as Lambda, SQL, DBT (Data Build Tool), and Python.
  • Versatile and detail-oriented professional with strong problem-solving abilities, excellent communication skills, and a proven track record of effective teamwork and adaptability to evolving technologies.

Nice to have

  • Experience with integration platforms like MuleSoft.
  • Experience in BI platform(s) such as MicroStrategy, Microsoft Power BI.

Education

  • Bachelor’s degree in computer science, Mathematics, Engineering, Information Technology, Business Intelligence, Information Systems, Data Analytics, or a related field required.
  • Master’s degree preferred

What We Value: 

  • Life/Work Balance
  • Pride in Production
  • Trust
  • Challenge yourself, inspire others
  • Success through diversity

Equal Employment Opportunity:

It is our commitment to ensure that all employment decisions are made without regard to gender, civil status, family status, sexual orientation, age, disability, race, religion and membership of the Traveller community, (protected characteristics under the Employment Equality Acts 1998-2011).

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Category: Engineering Jobs

Tags: Architecture BigQuery Business Intelligence Classification Computer Science Data Analytics Data governance DataOps Data warehouse dbt E-commerce Engineering ETL GCP Google Cloud JavaScript JSON Lambda Linux Mathematics NoSQL Power BI Python RDBMS Shell scripting Snowflake SQL Streaming

Region: Europe
Country: Ireland

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