At a Glance
- Tasks: Design and optimise high-performance data platforms for real-time streaming applications.
- Company: Join Chainalysis, a leader in blockchain technology and innovation.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a dynamic team solving challenging technical problems in the crypto space.
- Qualifications: 3+ years in data engineering with cloud platform expertise and strong coding skills.
- Other info: Diverse and inclusive workplace committed to continuous learning and growth.
The predicted salary is between 36000 - 60000 £ 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 & 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!
In this role, you’ll:
- 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.
We’re looking for candidates who have:
- 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: P2P
Contact Detail:
P2P Recruiting Team
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. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections!
✨Tip Number 2
Prepare for technical interviews by brushing up on your skills. Focus on data processing, cloud infrastructure, and streaming technologies. Practise coding challenges and system design questions that are relevant to the role.
✨Tip Number 3
Show your passion for blockchain and cryptocurrency! Be ready to discuss how you can contribute to Chainalysis's mission. Share any personal projects or experiences that highlight your interest in the industry.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our 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 or Terraform. We want to see how your skills align with what we do at Chainalysis!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and why you’re excited about working with us. Mention specific projects or experiences that relate to our mission of building trust in cryptocurrencies.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical skills! Include details about your experience with streaming data pipelines, cloud architecture, and any programming languages you’re comfortable with. We love seeing hands-on expertise!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at P2P
✨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 any other relevant tech to show you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially those related to building scalable data platforms or optimising data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your contributions.
✨Understand the Company’s Mission
Familiarise yourself with Chainalysis and its role in the cryptocurrency ecosystem. Being able to articulate how your skills align with their mission to build trust in cryptocurrencies will demonstrate your genuine interest in the position and the company.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, current projects, and future challenges they face. This not only shows your enthusiasm but also helps you gauge if the company culture and work align with your values and career goals.