At a Glance
- Tasks: Design and optimise scalable data platforms for real-time streaming applications.
- Company: Join Chainalysis, a global leader in cryptocurrency technology.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Dynamic culture with a focus on innovation and collaboration.
- Why this job: Be part of a talented team tackling exciting challenges in the crypto space.
- Qualifications: 3+ years in data engineering with cloud platform expertise.
The predicted salary is between 63000 - 77000 £ 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.
Data Engineer, Data Cloud employer: The BDPN
At Zynga, we pride ourselves on fostering a vibrant and inclusive work culture that thrives on creativity and collaboration. As a Senior UI/UX Designer at Gram Games, you'll enjoy exceptional benefits including a competitive salary, private medical care, and a company bonus scheme, all while working in a dynamic environment filled with innovative technology and delicious onsite meals. Join us in the UK and take advantage of unparalleled growth opportunities in the gaming industry, where your contributions will directly impact the joy of players worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer, Data Cloud
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like The BDPN!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer, Data Cloud at The BDPN.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like The BDPN.
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We think you need these skills to ace Data Engineer, Data Cloud
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at The BDPN, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at The BDPN. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at The BDPN
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at The BDPN!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
