Data Engineer
London, England, United Kingdom
Applications have closed
Skimlinks, a Connexity and Taboola company, drives e-commerce success for 50% of the Internet’s largest online retailers. We deliver $2B in annual sales by connecting retailers to shoppers on the most desirable retail content channels. As a pioneer in online advertising and campaign technology, Connexity is constantly iterating on products, solving problems for retailers, and building interest in new solutions.
We have recently been acquired by Taboola to make the first Open-Web Source for Publishers connecting editorial content to product recommendations, where readers can easily buy products related to stories they are reading.
Read more about how we're changing the game here!
Due to our explosive growth, we are seeking an experienced Data Engineer to help with a variety of large scale data challenges and build pipelines that can analyse the torrent of our data. Our ideal candidate enjoys a fast-paced environment, working with multiple, complex projects and teams with a positive, collaborative attitude.
Projects we are working on currently include the building of a large scale product databases, a centralised system for reporting publishers’ revenue across their marketing channels to manage and develop data pipelines and ETL processes across Skimlinks.
About the role
We are looking for a Data Engineer to join our team in London. We are creating a fundamentally new approach to digital marketing, combining big data with large-scale machine learning. Our data sets are on a truly massive scale - we collect data on over a billion users per month and analyse the content of hundreds of millions of documents a day. We use latest open source and Google Cloud technologies such as Apache Druid, Airflow, BigQuery, Apache Beam and are open to innovation.
As a member of our Data Engineer team your responsibilities will include:
- Designing, building and implementing data engineering systems across all parts of our data platform; from high-volume data collection, scheduling, enrichment through to automated analysis of large datasets
- Working with our team of Product Managers and our commercial teams to understand the needs of the market and our customers; and how they can be translated into solutions
- Crafting innovative solutions to complex technical problems and making design decisions in line with our technical strategy and high engineering standards
- Defining our development environment, and communicate the best development practices within the organisation (i.e. code reviews, testing, etc)
- Sharing your knowledge across the business and mentor others in your areas of deep technical expertise
Requirements
Here at Skimlinks we value dedication, enthusiasm, and a love of innovation. We are disrupting the online monetization industry, and welcome candidates who want to be a part of this ambitious journey. But it is not just hard work, we definitely appreciate a bit of quirkiness and fun along the way.
We’re looking for a Data Engineer with the following:
- Proven work experience with large data sets.
- An advanced degree (Bachelor/Masters) degree in computer science or a related field.
- Solid coding skills (Python preferred).
- You’ll have an interest in processing large datasets at scale (we use BigQuery, Apache Druid, Dataflow and are a Python shop)
- Ability to create, optimise and automate data pipelines (SQL, Airflow, Star Schema).
- A commercial mindset, you are passionate about creating outstanding products
- Experience with DBT & Looker is a plus.
Benefits
Voted “Best Places to Work,” our culture is driven by self-starters, team players, and visionaries. Headquartered in Los Angeles, California, the company operates sites and business services in the US, UK, and EU. We offer top benefits including Annual Leave Entitlement, paid holidays, competitive comp, team events and more!
- Healthcare insurance & cash plans
- Pension
- Parental Leave Policies
- Learning & Development Program (educational tool)
- Flexible work schedules
- Wellness Resources
- Equity
We are committed to providing a culture at Connexity that supports the diversity, equity and inclusion of our most valuable asset, our people. We encourage individuality, and are driven to represent a workplace that celebrates our differences, and provides opportunities equally across gender, race, religion, sexual orientation, and all other demographics. Our actions across Education, Recruitment, Retention, and Volunteering reflect our core company values and remind us that we’re all in this together to drive positive change in our industry.
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This position is hybrid (1day/week) or remote, and based in our London office.
#HP
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Big Data BigQuery Computer Science Dataflow Data pipelines E-commerce Engineering ETL GCP Google Cloud Looker Machine Learning Open Source Pipelines Python SQL Testing
Perks/benefits: Career development Competitive pay Flex hours Parental leave Startup environment Team events
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