At a Glance
- Tasks: Design and optimise scalable data platforms for real-time streaming applications.
- Company: Join Chainalysis, a leader in blockchain technology and innovation.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Other info: Dynamic work environment with a commitment to diversity and inclusion.
- Why this job: Be part of a team that shapes the future of cryptocurrency and data engineering.
- Qualifications: 3+ years in data engineering with cloud expertise and strong coding skills.
The predicted salary is between 60000 - 80000 € per year.
The engineering team at Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We’re a global organization with teams in the UK, Denmark, Canada, and the USA who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes every day and our job is to build a flexible platform that will allow us to adapt to those rapid changes. We’re looking for Data Engineers to join our Data Cloud team. This group accelerates innovation and helps unlock new business lines, by empowering anyone at Chainalysis to quickly and reliably discover, access, analyze, and build on top of any and all data. You’ll be a key player in creating and optimizing our data platform and data processing systems. If you’re passionate about infrastructure automation, cloud services, and building scalable platforms to enable next-gen real-time streaming data applications, we want you to join our talented and growing team!
Responsibilities
- Design, develop, and optimize high-performance, scalable data platforms, with a strong focus on streaming data processing, large data volumes, and cloud infrastructure.
- Implement and maintain infrastructure automation and self-service using Terraform, ensuring reliable and repeatable environments for both development and production, and creating robust CI/CD pipelines.
- Build seamless integrations between Data Cloud and various relational and noSQL OLTP databases.
- Design and build frameworks and abstractions to accelerate the development of data pipelines while embedding data engineering best practices.
- Establish and maintain observability, security, and data governance solutions to ensure high quality and reliability of data pipelines.
Qualifications
- 3+ years of experience as a Data Platform Engineer or Software Engineer or Infrastructure Engineer, with hands-on expertise in building and maintaining cloud-based data platforms.
- Solid experience with AWS services, a good understanding of cloud architecture, and proficiency with Terraform for provisioning and managing cloud infrastructure.
- Experience building streaming data pipelines using Apache Flink, Apache Kafka, Spark Structured Streaming, or similar technologies.
- Knowledge of modern data lakehouse architectures and ecosystem such as Kafka, Flink, Spark, Databricks, Snowflake, DBT, Airflow, Debezium, Delta/Iceberg, and comfort with Python/Java and SQL.
- Experience with networking and security concepts within AWS, including VPCs, subnets, routing, security groups, IAM, etc.
Nice to Have Experience
- Exposure to or interest in the cryptocurrency technology ecosystem.
- Experience working with different blockchain technologies is a plus.
- Experience with a SaaS or FinTech company.
Technologies We Use
- AWS Services: MSK, EC2, VPC, IAM, S3, SQS, Managed Flink, EKS.
- Data Lakehouse: Kafka, Flink, Spark, Databricks, DBT, Debezium.
About Chainalysis
Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That’s where Chainalysis comes in. We provide complete knowledge of what’s happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence.
You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don’t hesitate to let us know. You can learn more here. We can’t wait to meet you.
Data Engineer, Data Cloud in London employer: Chainalysis
Chainalysis is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for Data Engineers passionate about cloud services and data processing. With a commitment to diversity and employee growth, we offer opportunities to work on cutting-edge technologies in a supportive environment, ensuring that every team member can thrive and contribute to the rapidly evolving world of blockchain technology. Join us in our mission to build trust in cryptocurrencies while enjoying a flexible work culture and the chance to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer, Data Cloud in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Chainalysis on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects related to data engineering, cloud services, or streaming data. This will help us see your practical experience in action.
✨Tip Number 3
Ace the interview by practising common technical questions and scenarios related to data platforms and cloud infrastructure. We want to see how you think and solve problems, so be ready to demonstrate your expertise!
✨Tip Number 4
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 Chainalysis.
We think you need these skills to ace Data Engineer, Data Cloud in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with cloud services, data platforms, and any relevant technologies like AWS, Terraform, or streaming data tools. We want to see how your skills align with what we do!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data engineering and how you can contribute to our team at Chainalysis. Don’t forget to mention any experience with blockchain technology or the cryptocurrency ecosystem if you have it!
Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to include them. We love seeing real-world applications of your skills, especially in building scalable data platforms or using tools like Apache Kafka or Spark.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Chainalysis!
How to prepare for a job interview at Chainalysis
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like AWS services, Terraform, and streaming data tools. Brush up on your knowledge of Apache Flink, Kafka, and Spark Structured Streaming, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Chainalysis values innovative solutions, so think about examples where you’ve designed or optimised data platforms or automated infrastructure.
✨Understand the Company’s Mission
Familiarise yourself with Chainalysis and its role in the cryptocurrency ecosystem. Being able to articulate how your skills can contribute to their mission of building trust in cryptocurrencies will show your genuine interest in the company.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your understanding of the role and the industry. Inquire about their current projects, team dynamics, or how they approach data governance and security. This shows you're not just interested in the job, but also in the company’s future.
