Fenestra provides leading advertisers, agencies and publishers around the world an independent, configurable platform and transparent data ecosystem to quickly and easily optimise performance in their programmatic media supply-chain to achieve materially improved business outcomes.

Founded by a proven group of digital advertising executives, Fenestra has gone through a rapid period of product development, notably releasing a campaign optimisation automation product called Actus, and is now laying the foundations for a transformative 2024. In support of this growth, we are seeking a highly skilled and experienced Senior Data Engineer to primarily work on back-end development, though will have a broad remit and will be someone with a deep interest in and love for technology and the web.

ROLE & RESPONSIBILITIES:

Architecting and integrating new user-facing features in collaboration with Product, including overall system design
Choosing whether to build a code library or use an open source one where necessary, including keeping up to date with the latest trends in large scale data processing
Continued analysis, monitoring and optimisation of data storage and retrieval techniques, including updates to Airflow / Google Cloud Composer
Optimising applications for maximum speed and scalability
Contribute regularly to discussions regarding internal process and system improvements in order to ensure maximum efficiency across the company including suggesting technical solutions to problems
Collaborate with Founders, team members and external partners to decide what to build next
Mentoring of junior technical staff and training of other non-technical staff and support the business as required

QUALIFICATIONS:

Experience: 3 years+ working in the AdTech / MARTECH sectors, building big data analytical products is mandatory.
Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Physics or related field.
Experience: 5 years+ in a software development team utilising big data sets including ingestion, ETL process, analytics and visualisation.

REQUIRED SKILLS:

Analytical Skills: Strong ability to analyse and interpret complex data and metrics.
Communication Skills: Excellent verbal and written communication skills
Led Agile teams, including using technical systems to ease development, such as CI/CD tools and git code reviews
Technical experience and skills:
Python knowledge, including the use of pip package management, pytest for testing and setuptools for making easily deployable systems with the correct packages
3 years+ experience of the Apache Airflow ETL framework is a must, ideally including experience of Google Cloud Composer (the GCP managed version)
Extensive use of Git in a team environment, including the use of branches and pull requests to review code from a cloud based repository, e.g. Github, Bitbucket, Gitlab
Strong understanding of Continuous Integration concepts and tools, e.g. Circle CI, Drone, Google Cloud Build
Strong understanding of Infrastructure as Code concepts, ideally with some experience using Terraform
Extensive knowledge of containerisation, including Docker and orchestration frameworks such as Kubernetes or Mesos/Marathon
Experience of cloud technologies, primarily GCP and/or AWS would be a real benefit

Compensation package includes competitive salary, company bonus, pension, generous holiday allowance, hardware choice and equity participation to attract the best. Modern Central London hybrid working environment (currently near Waterloo / Southwark Stations), with excellent remote working infrastructure. All candidates must be eligible to work in the UK without the need for any company visa sponsorship. Fenestra is an equal opportunities employer.

Fenestra is not accepting CVs from Recruitment Consultants at this time.

Apache Airflow jobs

Senior Data Engineer