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- Tasks: Build and maintain scalable data infrastructure for innovative marketing solutions.
- Company: Join Channel Factory, a leading startup in the marketing tech space.
- Benefits: Enjoy competitive salary, comprehensive medical benefits, and work-life flexibility.
- Why this job: Make a real impact in transforming video ad operations with cutting-edge technology.
- Qualifications: 3+ years in data engineering, strong SQL, and expert Python skills required.
- Other info: Collaborative culture with opportunities for growth and occasional travel.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Channel Factory provides intelligent marketing solutions for the next generation of contextual safety, suitability, and performance for brands and agencies. Our platform helps marketers implement, automate, and scale their marketing programmes across the world’s largest video library, YouTube and emerging growth channels. We sit at the intersection of marketing and suitability and have a mission of enabling the world’s top brands to consciously connect with the right audience in the right context, maximizing suitability and contextual performance. Channel Factory embodies a strong start‑up culture that values diversity, collaboration, and results. Our bias towards execution balances critical thinking, analysis, and pragmatic problem solving. We expect a lot from one another and value our thoughtful and intellectually curious company culture.
Channel Factory is in search of an innovative and dedicated Senior Data Engineer to join our growing team that will lead, build, and maintain scalable data infrastructure that powers our analytics and business intelligence initiatives. This is a high‑impact role where you will play a pivotal part in evolving our core data infrastructure.
Responsibilities
- Collaborate with product managers and business stakeholders to understand complex business requirements to translate business needs into well‑designed and maintainable solutions.
- Ensure data quality and reliability by implementing robust data quality checks, monitoring, and alerting to ensure the accuracy and timeliness of all data pipelines.
- Create data governance policies and develop data models and schemas optimized for analytical workloads.
- Influence the direction for key infrastructure and framework choices for data pipelining and data management.
- Manage complex initiatives by setting project priorities, deadlines, and deliverables.
- Collaborate effectively with distributed team members across multiple time zones, including offshore development teams.
- Build relationships and foster team cohesion across geographical and cultural boundaries.
- All other tasks as required.
About Channel Factory
Founded in 2010, Channel Factory is an award‑winning marketing technology company that helps top global brands and agencies maximize YouTube advertising. Recognized as a technology innovator by Cynopsis and one of the fastest‑growing companies by Inc., Channel Factory has served over three hundred of the Fortune 500 in delivering scalable, brand‑safe, contextually aligned YouTube advertising software and services. By tapping into the deepest proprietary data pool on the market, the company enables highly customized, contextually aware, and dynamically optimized campaigns and provides industry‑leading performance for a portfolio of clients across all industries.
Qualifications
- 3+ years of experience in data engineering or related roles, with a proven track record of building and maintaining scalable data pipelines in production.
- Experience designing and developing large‑scale, efficient batch and streaming data processing pipelines.
- Strong SQL proficiency, with experience in both transactional RDBMS systems and distributed systems.
- Expert‑level proficiency in Python.
- In‑depth experience with distributed data technologies: RabbitMQ, Celery, Pyspark.
- In‑depth experience with AWS data services (ECS, EC2, Glue, OpenSearch, RDS).
- Experience with modern Data Lakehouse technologies such as Apache Iceberg, S3 Tables, StarRocks.
- Knowledge of digital advertising is a plus.
- Experience integrating data science based models and algorithms.
This role may involve occasional travel for in‑person collaboration, meetings, trainings, etc.
Benefits
- Work with a leading startup in a high-demand industry, and you would be working with like-minded experts aiming to transform video ad operations.
- Competitive salary.
- Comprehensive medical benefits (Medical, Vision, Dental, and Life Insurance).
- Cell phone and Wifi Reimbursement.
- Bill Spend Stipend.
- Gym Stipend.
- Work‑life flexibility – we value your contributions above all.
Data Software Engineer - Media Buying Engineering employer: Channel Factory LLC
Contact Detail:
Channel Factory LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Software Engineer - Media Buying Engineering
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and data pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s products. Be ready to discuss how your experience aligns with their needs, especially around data engineering and marketing solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our awesome team at Channel Factory.
We think you need these skills to ace Data Software Engineer - Media Buying Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Software Engineer role. Highlight your experience with data pipelines, SQL, and Python, as these are key for us. We want to see how your skills align with our mission at Channel Factory!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Show us your personality and let us know why you want to join Channel Factory.
Showcase Relevant Projects: If you've worked on any projects that relate to data engineering or digital advertising, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. We can’t wait to hear from you!
How to prepare for a job interview at Channel Factory LLC
✨Know Your Data Inside Out
Make sure you brush up on your data engineering skills, especially in SQL and Python. Be ready to discuss your experience with building scalable data pipelines and any specific projects you've worked on that relate to the job description.
✨Understand the Company’s Mission
Channel Factory is all about contextual safety and performance in marketing. Familiarise yourself with their platform and how it integrates with YouTube and other channels. This will help you align your answers with their goals during the interview.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Highlight your critical thinking and pragmatic problem-solving abilities, as these are key traits they value in their team culture.
✨Emphasise Collaboration and Communication
Since the role involves working with distributed teams across different time zones, be ready to discuss your experience in collaborating effectively with remote teams. Share examples of how you've built relationships and fostered team cohesion in previous roles.
