Principal Data Engineer

!!! Location: remotely from  Latvia, Lithuania, lower priority - Spain/Portugal/Romania/Slovakia/Hungary/Czech Republic!!!

In a partnership with one of global consulting companies, we’re looking for a Principal Data Engineer (Product Data Domains). The client is a UK-based telecommunication company.

Product Group is responsible for the design, development, and delivery of the company’s portfolio of digital products.  Our portfolio is diverse and contains some of the largest and highest-profile properties on the UK internet. We’re a huge streaming media destination, a news source trusted across the world, a provider of educational and entertaining content to children of all ages, and a sports results, analysis, and commentary service, and much more besides. It's an unparalleled portfolio of products, and our strength is our range and breadth. Working with the company’s content divisions, our focus now is on driving engagement across our portfolio so that the our service becomes a valued daily habit for all audiences just as television and radio have been over the last century. 

Data is fundamental to our future: both in helping us prioritise and shape our work and in creating richer, more personalised experiences for our audiences. And our portfolio means that we’ve got one of the widest, most diverse, and most exciting datasets to work within the UK. 

The Role 

The Principal Data Engineer will support the Product Data Domain teams. You will build ETL pipelines to ingest and transform data to develop the data products that will power key value use cases across the company. You will work in an agile multi-disciplinary team alongside product analytics developers, product data managers, data modelers and data operations managers, ensuring that all work delivers maximum value to the company. 

Role and Responsibilities 

Role and responsibilities will comprise of: 

• Leads and architects on developing robust and scalable complex data pipelines to ingest, transform, and analyse large volumes of structured and unstructured data from diverse data sources. Pipelines must be optimised for performance, reliability, and scalability in line with the client scale.  
• Lead initiatives to enhance data quality, governance and security across the organisation, ensuring compliance with client guidelines and industry best practices. 
• Prioritises stakeholders requirements and identify the best solution for timely delivery. 
• Leads on building automation workflows including monitoring and alerting. 
• Encouraging and mentoring team members in partnership with other disciplines to create value with data across the wider organisation.  
• Helps set standards for coding, testing and other engineering practices. 
• Leads on the building and testing of business continuity & disaster recovery procedures per requirements. 
• Proactively evaluates and provides feedback on future technologies and new releases/upgrades based on deep understanding of the domain. 

Are you the right candidate? 

When it comes to data engineering, we look for the following skills. 

Technical skills 

• Extensive (5+ years) experience in a data engineering or analytics engineering role, preferably in digital products. 
• Extensive experience in building ETL pipelines, ingesting data from a diverse set of data sources (including event streams, various forms of batch processing) 
• Excellent SQL and python skills. 
• Extensive use of AWS  
• Good working knowledge of Data Warehousing technologies (such as AWS Redshift, GCP BigQuery or Snowflake). 
• Experience in deploying and scheduling code bases in a data development environment, using technologies such as Airflow.  
• Demonstrable experience of working alongside cross-functional teams interacting with Product Managers, Infrastructure Engineers, Data Scientists, and Data Analysts. 

Teamwork and stakeholder management   

• Ability to listen to others’ ideas and build on them   
• Ability to clearly communicate to both technical and non-technical audiences.  
• Ability to collaborate effectively, working alongside other team members towards the team’s goals, and enabling others to succeed, where possible.  
• Ability to prioritise. A structured approach and ability to bring other on the journey.   
• Strong attention to detail