Senior Data Engineer

Jowicom; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Healthcare insurance & cash plans

Pension

Parental Leave Policies

Learning & Development Program

Wellness Resources

Equity

Job summary

Jowicom in London is seeking a Senior Data Engineer to join our Data Platform team. You will design and maintain high-volume Python data pipelines and analyze large datasets in SQL, helping translate business needs into scalable solutions.

You will work in an agile environment with cross-functional partners, mentor colleagues, and drive performance improvements while embracing a flexible schedule that includes some remote days.

Qualifications

• Advanced degree in computer science or related field.
• Strong Python and SQL programming skills.
• Experience with Google Cloud Platform or other clouds and building batch (Airflow) and streaming (Dataflow) pipelines.
• Familiarity with BigQuery, Apache Druid, Elasticsearch.
• Knowledge of Terraform, DBT and Looker is a plus; focus on performance optimisation and cost reduction.

Responsibilities

• Design, build, test and maintain high-volume Python data pipelines.
• Analyse complex datasets in SQL.
• Collaborate with Product and Commercial teams to translate requirements into scalable solutions.
• Work independently in an agile environment.
• Share knowledge across the business and mentor colleagues in technical areas.

Skills

Airflow

Python

SQL

GCP

BigQuery

Education

Bachelor's Degree

Tools

Terraform

DBT

Looker

Job description

Location: London, England, United Kingdom

Flexible work from home days

1 day per week in the office

DESCRIPTION

Industry: Information Technology - Computer Software

The group drives e-commerce success for 50% of the Internets largest online retailers. They 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, they are constantly iterating on products, solving problems for retailers, and building interest in new solutions.

They have recently been acquired 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.

The company is a global e-commerce monetization platform, with offices in LA, London, Germany, and NYC.

They work with over 60,000 premium publishers and 50,000 retailers around the world helping content producers get paid commissions for the products and brands they write about.

ABOUT THE ROLE

They are looking for a Senior Data Engineer to join their team in London. They are creating a fundamentally new approach to digital marketing, combining big data with large-scale machine learning. Their data sets are on a truly massive scale - they collect data on over a billion users per month and analyse the content of hundreds of millions of documents a day.

As a member of our Data Platform team your responsibilities will include:

• Design, build, test and maintain high-volume Python data pipelines.
• Analyse complex datasets in SQL.
• Communicate effectively with Product Managers and Commercial teams to translate complex business requirements into scalable solutions.
• Work independently in an agile environment.
• Share your knowledge across the business and mentor colleagues in areas of deep technical expertise.

REQUIREMENTS

They value dedication, enthusiasm, and a love of innovation. They 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, they definitely appreciate a bit of quirkiness and fun along the way.

They're looking for a Senior Data Engineer with the following:

• An advanced degree (Bachelor/Masters) in computer science or a related field.
• Solid programming skills in both Python and SQL.
• Proven work experience in Google Cloud Platform or other clouds, developing batch (Apache Airflow) and streaming (Dataflow) scalable data pipelines.
• Passion for processing large datasets at scale (BigQuery, Apache Druid, Elasticsearch)
• Familiarity with Terraform, DBT & Looker is a plus.
• Initiatives around performance optimisation and cost reduction.
• A commercial mindset, you are passionate about creating outstanding products.

Voted Best Places to Work, their 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. They 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)
• Wellness Resources
• Equity

They are committed to providing a culture that supports the diversity, equity and inclusion of their most valuable asset, their people.They encourage individuality, and are driven to represent a workplace that celebrates their differences, and provides opportunities equally across gender, race, religion, sexual orientation, and all other demographics. Their actions across Education, Recruitment, Retention, and Volunteering reflect our core company values and remind them that they're all in this together to drive positive change in our industry.

SKILLS AND CERTIFICATIONS

• Airflow
• Python
• SQL
• GCP
• BigQuery

CANDIDATE DETAILS

• 5+ to 7 years experience
• Seniority Level - Mid-Senior
• Management Experience Required - No
• Minimum Education - Bachelor's Degree
• Willingness to Travel - Never

IDEAL CANDIDATE

Our ideal candidate is an experienced Data Engineer with very strong experience in Python and SQL. It would be great if they have Airflow and GCP experience.

WHY THEY'RE A GREAT COMPANY

The company has been in existence for 10+ years. A large portion of our workforce has been with the company for almost as long. They are a people-first culture of mutual respect, positivity, productivity, and fun. They offer numerous benefits including flexible schedule/work arrangements, competitive compensation, pension, learning & development budget