Principal Data Engineer (SQL, Python, SaaS) (hybrid)

Job Description

My client a software house who provides innovative solutions for individuals with learning differences or reading difficulties are seeking a Principal data engineer to join their team.

Their aim is to help users improve their reading and writing skills, providing them with tools and resources that enhance the learning process. Their product offerings cater to a diverse range of users, from students to professionals, and are designed to be user-friendly and accessible to all.

You will work as part of a team to enhance and optimize their data architecture and pipeline, as well as streamline data flow and collection for cross-functional teams.

As a crucial part of this position, you will contribute to the success of the company's data initiatives and drive valuable business insights. The ideal candidate will have a software engineering background and have transitioned into the field of data

Responsibilities:

  • Collaborate with the Internal Systems Development team to ensure data collection supports business needs.
  • Lead the development of the data roadmap, exploring new data integrations and tooling solutions.
  • Work with the Chief Data Officer to standardize data processes using industry best practices.
  • Identify opportunities to streamline data flows between teams.
  • Create compelling data visualizations to communicate insights to management and cross-functional teams.
  • Capability to showcase data insights and outcomes to Senior management.

Qualifications:

  • 3+ years of experience in a senior data engineering role.
  • Strong SQL proficiency.
  • Proficient in Python programming
  • Experience with data visualization tools.
  • Background in SaaS businesses.
  • Exceptional communication skills, both technical and non-technical.

Benefits of offer:

  • Competitive Salary
  • Birthday day off
  • 20 days holidays + stat days
  • Hybrid working (2 days in office)
  • Performance bonus
  • X4 life insurance
  • Pension scheme

Desirable skills:

  • Proficiency in PHP or Python.
  • Experience with large datasets and data warehouse tools such as Redshift, BigQuery, Snowflake, etc.
  • Familiarity with Google Data Studio.
  • Agile methodology experience.
  • Expertise in SaaS metrics.
  • Confluence proficiency or similar tool.

Personal Attributes:

  • Self-motivated and deadline-driven.
  • Excellent communication skills.
  • Analytical mindset.

To apply for this, or any other role in Data Engineering, Data Science or Data Warehousing, please get in touch with Rachel Boyle directly on Linkedin