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We are Two Circles. We are a Sports & Entertainment Marketing business. 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 1000 clients globally, including the English Premier League, Red Bull, UEFA, VISA, the NFL, Nike and Amazon. We are over 1000 people, based out of 15 offices, and we deliver work for sports and entertainment businesses of all shapes and sizes all over the world. 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 Partnership Intelligence > Measurement Team that specializes in the ingestion, transformation, and storage of large-scale social and broadcast 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 The Role We are seeking a Lead Data Engineer to join our Measurement team in the Partnership Intelligence Platform. You will round out the team with expertise in directly managing AWS Services, with technologies such as Airflow, Snowflake, MS SQL Server and .Net. Experience designing and 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, test driven development, 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. Ideal Tech Stack: .Net / C# Python AWS or similar Snowflake SQL Airflow Requirements Experience 5+ years of experience in software engineering with a data focus, working in a fast-paced, agile environment 5+ years of experience writing, debugging and refining database queries 5+ years of experience with object oriented languages (preferably Python and C# .Net) 5+ years of experience building or maintaining cloud infrastructure and services (preferably AWS) 5+ years experience automating repetitive tasks (like setups, developer onboarding, support, moving data, etc.) Technical Skills Experience with various orchestration and batch processing technologies like Apache Airflow Proficiency in Snowflake and MS SQL. Proficiency in Python and C#. Both are required to be successful in this role Strong experience with containerization such as Docke Location Vancouver , BC Work location On site Salary $ 110,000 to $ 130,000 YEAR annually Terms of employment Full time Starts as soon as possible vacancies 1 vacancy Source Talent.com #632710846086321797 Various locations Vancouver, BC
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.