Data Engineer

6 Days ago • All levels

Job Summary

Job Description

Two Circles is looking for a Data Engineer to join their KORE Intelligence Platform team. The role involves designing and maintaining scalable data pipelines for enterprise web applications, analytics, and business intelligence. Key responsibilities include working within a cross-functional team to deliver a SaaS-based data platform, designing and implementing reliable data pipelines, collaborating with stakeholders to deliver the vision and roadmap, advocating for development best practices, contributing to DevOps culture, and supporting the platform's maintenance. The role requires experience with AWS services, such as Spark, Kinesis, and Airflow. A keen interest in exploring new technologies and managing large-scale data pipelines is essential.
Must have:
  • Experience with managing large scale data pipelines.
  • Experience with AWS Services, with technologies such as Spark, Kinesis, and Airflow.
  • Design and implement data pipelines with a clear focus on data quality and reliability.

Job Details

Two Circles is looking for a Data Engineer to join our dynamic KORE Intelligence Platform team. In this role, you'll be a key part of our Data & BI Engineering Team that specializes in the ingestion, transformation, and storage of large-scale fan data. Working under the guidance of an experienced Data Engineers and Architects, you will gain hands-on experience designing and maintaining scalable, efficient data pipelines that support enterprise web applications, analytics, and business intelligence.

About Two Circles

We are Two Circles. We grow audiences and revenues. We do that by knowing fans best. We work with clients to help them understand & influence what their fans are doing – the way fans spend their money, the events that fans attend, the channels fans respond to, the content fans watch and more. And we use the understanding this gives us to help our clients grow. Grow their audiences and grow their revenues - both direct to consumer and business to business revenues. Our platforms and services are trusted by over 900 clients globally, including the English Premier League, Red Bull, UEFA, VISA, the NFL, Nike and Amazon. We are almost 1000 people, based out of 14 offices, and we deliver work for sports and entertainment businesses of all shapes and sizes all over the world.

The KORE Intelligence Platform is a fan, partnership and revenue intelligence platform for sports & entertainment and related businesses.

About the KORE Fan Intelligence Platform

We provide our clients fan segmentation and insights to enable them to market and engage their fan base. By leveraging fan data with our industry leading solutions, we help them understand their customers better and grow their audiences. We do this by collating data feeds from major providers such as Ticketmaster, AXS, and Seatgeek into our best-in-class data solutions at Two Circles.

Role Overview

We are seeking experienced Data Engineer to join our rapidly growing Fan Intelligence Platform team. You will round out the team with expertise with directly managing AWS Services, with technologies such as Spark, Kinesis, and Airflow. Experience with managing large scale data pipelines is a must for this role, as well as a keen interest to explore new technologies and solutions. We are looking for someone who brings experience and passion working with the flow of data and infrastructure.

Key Responsibilities

  • Work as part of a cross-functional product team to deliver a high-quality SaaS based data platform.
  • Design and implement data pipelines with a clear focus on data quality and reliability.
  • Partner with both Product Management and stakeholders, as well as both technical and non-technical team members to deliver our vision, roadmap, and data strategy in addition to innovative client solutions.
  • Act as an advocate for development best practices including technical design reviews, implementing test plans, monitoring/alerting, peer code reviews, and documentation.
  • Contribute to our DevOps culture and participate in ownership of our designs through production operations.
  • Support the ongoing maintenance and operations of the data platform.

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