Data Engineer, Cognism
International sales intelligence platform
Be an early applicant
International sales intelligence platform
501-1000 employees
Be an early applicant
501-1000 employees
Company mission
To drive the next evolution of sales and marketing technology.
Role
Who you are
- If you are proactive, willing to continuously learn and have experience in this field, we’d like to hear from you
- The ideal candidate should have experience with big data pipelines and be open to evaluating and adopting new data technologies to enhance data engineering capabilities and processes
- Have 6+ years of experience as a software engineer
- Demonstrated experience in building, testing, and maintaining highly scalable and robust data pipelines
- Experience with big data processing frameworks and tools (preferable Spark, Flink or similar)
- Expertise in at least one of the languages relevant to data engineering (Scala preferable, Python, Java)
- Knowledge of cloud computing platforms(AWS preferable, Azure, Google) and distributed systems
- Strong understanding of storage systems
- Working experience with message brokers/messaging platforms (preferably RabbitMQ, Kafka)
- Understanding of data structures, algorithms, and database management systems (SQL and NoSQL)
- Effective collaboration and teamwork skills
- You are able to lead, influence, and guide your colleagues
- Clear and effective verbal and written communication skills
- Excellent problem-solving and critical-thinking skills
What the job involves
- We are now looking for an experienced Senior Data Engineer to join our fast-growing team. You will be responsible for building, monitoring and automating our data pipeline
- You will have the opportunity to work with the latest tools and frameworks in Data Engineering with hands-on coding
- You’ll work with a team of skilled Data Engineers of different experience levels
- Designing, developing, and managing modern ingestion pipelines, optimizing transformation processes and handling large volumes of streaming and batch data
- Develop a monitoring and alerting system as well as automatization of the processes
- Researches and leads the adoption of new approaches/technologies
- Act as a technical lead and a multiplier who shares knowledge and delegate to help others grow
Our take
Cognism is a lead generation platform that provides clients with a SaaS solution that facilitates prospecting and improves conversions. According to Cognism, over 1.800 international businesses use its solution to drive new revenue, across industries such as marketing, HR, and technology.
The company differentiates itself through patented AI technology that delivers various data about leads to clients, helping them streamline the prospecting process. For example, Cognism provides clients with real-time company and people data and their AI technology identifies new business opportunities. Moreover, the solution easily integrates with all major CRM systems, which facilitates targeted communication strategies.
It also differentiates itself through its dedication to building a leading GDPR-compliant prospecting solution. The company's substantial funding has been primarily invested in international expansion across Europe, strengthening its position in the US, and improving its regulatory expertise in order to set the standard for data compliance.
Kirsty
Company Specialist
Insights
Some candidates hear
back within 2 weeks
42% female employees
32% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Jan 2022
$87.5m
SERIES C
Mar 2021
$12.5m
LATE VC
Total funding: $129m
Company benefits
- Generous Annual Leave/ Paid Time Off (PTO)
- A day off for your Birthday!
- Great Maternity and Paternity packages
- Monthly Wellbeing Allowance
- Access to Spill – our slack integrated Wellbeing Service
Company values
- We are Nice!
- We’re Collaborative. We’re in this together!
- We’re Solution-Focused. For every problem, we’ve got a solution!
- We’re Understanding
- We Celebrate Individual Contributors
Company HQ
Vauxhall, London, UK
Articles
Leadership
James Isilay
(CEO)Studied Information Systems Engineering at Imperial College London. Previously worked for 7 years at UBS Investment Bank, holding various positions such as Quantitative Developer, FX Derivatives IT Developer and Junior Exotic Options Trader.
Stjepan Buljat
(CIO)Previously worked for 10 years at ETNA, holding various positions such as IT Architect, R&D Team Leader and Product Development Manager.
Salary benchmarks
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