At a Glance
- Tasks: Design and maintain scalable data infrastructure to drive informed decision-making.
- Company: Join Blockchain.com, a leading global crypto company transforming finance.
- Benefits: Competitive salary, equity, unlimited vacation, and professional development budgets.
- Why this job: Be a key player in a rapidly expanding tech field with real-world impact.
- Qualifications: Experience in data engineering, Python fluency, and strong SQL skills required.
- Other info: Flexible work culture with hybrid options and commitment to diversity.
The predicted salary is between 28800 - 48000 £ per year.
Blockchain.com is connecting the world to the future of finance. As the most trusted and fastest-growing global crypto company, it helps millions of people worldwide safely access cryptocurrency. Since its inception in 2011, Blockchain.com has earned the trust of over 90 million wallet holders and more than 40 million verified users, facilitating over $1 trillion in crypto transactions.
We are looking for a talented Data Engineer to join our finplatform team and work from our office in London. The team works alongside the analytics team informing all product decisions and creating models and infrastructure to improve efficiency, growth, and security. We work closely with most sides of the business including fraud, trading, product, growth and finance.
Our automated ETL processes serve both the broader company (in the form of dashboards and back-end data sources for product features) and the analytics team itself (cleaning and processing data for analysis and modeling purposes, ensuring reproducibility). We are looking for someone passionate about driving informed decision making and growth within a company and wants to use their skillset to solve real-life problems.
You will need experience in designing, building, and maintaining a scalable and robust Data Infra that makes data easily accessible for analytics and the broader audience via different tools. As a data engineer, you will be involved in all aspects of the data infrastructure, from understanding current bottlenecks and requirements to ensuring the quality and availability of data. You will collaborate closely with data analysts, platform, and front-end engineers, defining requirements and designing new systems for both streaming and batch processing of data, as well as maintaining and improving existing ones. Being proactive in identifying issues, digging deep into their source, and developing solutions, are at the heart of this role.
Our tech stack includes: Python, Airflow, Docker, Google Cloud Platform (GCP), Spark, BigQuery, and Kubernetes.
WHAT YOU WILL DO
- Own new projects and integrations from start to end, communicating with stakeholders and turning requests into actionable plans
- Maintain and evolve the current data infrastructure to keep up with scalability, reliability and business requirements
- Maintain and extend our core data pipelines and ETLs
- Provide best practices and frameworks for data testing and validation and ensure reliability and accuracy of data
- Design, develop and implement data visualization and analytics tools and data products
WHAT YOU WILL NEED
- Previous experience working in a data engineering role
- Fluency in Python
- Good understanding of SQL
- Previous experience with ETL pipelines
- Experience working with Google Cloud Platform
- In-depth knowledge of SQL and no-SQL databases
- In-depth knowledge of coding principles, including Object Oriented Programming CICD
NICE TO HAVE
- Bachelor’s degree in Computer Science, Applied Mathematics, Engineering or any other technology-related field
- Experience with code optimisation, parallel processing
- Experience with Airflow, Google Composer or Kubernetes Engine
- Experiences with other programming languages, like Java, Kotlin or Scala
- Experience with Spark or other Big Data frameworks
- Experience with distributed and real-time technologies (Kafka, etc..)
- 2-5 years commercial experience in a related role
COMPENSATION & PERKS
- Full-time salary based on experience and meaningful equity in an industry-leading company
- This is a hybrid role based in our London office, with a mandatory in-office presence three days per week.
- Work from Anywhere Policy: You can work remotely from anywhere in the world for up to 20 days per year.
- ClassPass Budgets for learning & professional development
- Unlimited vacation policy; work hard and take time when you need it
- Apple equipment
- The opportunity to be a key player and build your career at a rapidly expanding, global technology company in an emerging field
- Flexible work culture
Blockchain is committed to diversity and inclusion in the workplace and is proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, religion, color, national origin, gender, gender expression, sex, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Data Engineer in City of London employer: Blockchain.com
Contact Detail:
Blockchain.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to current employees at Blockchain.com on LinkedIn. Ask them about their experiences and any tips they might have for your application. A friendly chat can sometimes lead to a referral, which is golden!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since you’ll be working with Python, SQL, and GCP, make sure you can talk confidently about your past projects and how you’ve tackled challenges in data engineering.
✨Tip Number 3
Show your passion for data! During interviews, share specific examples of how you've used data to drive decisions or improve processes. This will demonstrate that you’re not just skilled, but also genuinely interested in making an impact.
✨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 serious about joining the team at Blockchain.com.
We think you need these skills to ace Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python, SQL, and any relevant ETL processes. We want to see how your skills align with our tech stack and the specific requirements mentioned in the job description.
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. Mention any projects you've worked on that relate to our work at Blockchain.com.
Showcase Your Projects: If you've got any personal or professional projects that demonstrate your data engineering skills, don’t hesitate to include them. We love seeing real-life applications of your expertise, especially if they involve the tools we use like GCP 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!
How to prepare for a job interview at Blockchain.com
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like Python, SQL, and Google Cloud Platform. Be ready to discuss your experience with these tools and how you've used them in past projects.
✨Showcase Problem-Solving Skills
Prepare examples of how you've identified and solved data-related issues in previous roles. Highlight your proactive approach to troubleshooting and improving data infrastructure.
✨Understand the Business Context
Research Blockchain.com and its role in the crypto space. Understand how data engineering contributes to product decisions and overall business growth, so you can align your answers with their goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, current challenges they face, and future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.