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- Tasks: Design and build data infrastructure, pipelines, and ensure data quality for our growing business.
- Company: Join Baanx, a leader in digital asset services and crypto solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Be at the forefront of crypto innovation and make a real impact in the fintech space.
- Qualifications: 4+ years as a Data Engineer with strong skills in data pipelines and cloud platforms.
- Other info: Dynamic team environment with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Baanx is building digital assets services for every business. We provide our services in the United States and Europe to many millions of customers. Baanx is working on Crypto-as-a-Service Digital Banking and Digital Asset Lending services for our clients.
We are seeking a talented and experienced Data Engineer to join our dynamic team. As a Data Engineer, you will play a crucial role in designing, building, and maintaining our data infrastructure to support our growing business needs. Your role will include building a new data warehouse alongside the data team, building data pipelines to provide data to both internal and external clients and maintaining and ensuring data quality for the business.
Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 4+ years experience as a Data Engineer or similar role, with a strong background in designing and building data pipelines, ETL processes, and data warehouses.
- Hands-on experience with cloud-based data platforms and services, particularly AWS (Amazon Web Services) including but not limited to S3, Redshift, Lambda and Glue.
- Proficiency in programming languages such as Python, SQL, and experience with data processing frameworks/libraries such as Apache Spark, Pandas, or similar.
- Experienced in managing compute workloads and scaling with tools such as Kubernetes.
- Solid understanding of database concepts, data modelling, and relational databases (e.g., PostgreSQL, MySQL).
- Strong analytical, problem-solving, and communication skills, with the ability to work effectively in a fast-paced and collaborative environment.
- Experience working in the fintech or financial services industry is a plus.
- Excellent communication and collaboration skills, with the ability to interact effectively with technical and non-technical stakeholders.
Additional Information
- Design and build data warehouse alongside the data team.
- Design, develop, and maintain data pipelines and ETL processes to ingest, process, and transform large volumes of data from various sources into our data warehouse.
- Build data pipeline to third party reporting and automation tools.
- Work with clients to provide clean and reliable data in a safe environment.
- Build and optimize data models, schemas, and databases to support analytical and reporting requirements.
- Implement data quality checks, monitoring, and error handling mechanisms to ensure the integrity and reliability of our data.
- Collaborate with the data team and business departments to understand data requirements and deliver data solutions that meet business needs.
- Continuously optimize and improve data infrastructure, performance, and scalability to support growing data volumes and evolving business requirements.
- Stay up-to-date with emerging technologies and best practices in data engineering, cloud computing, and data management.
Data Engineer in London employer: Jobs for Lebanon
Contact Detail:
Jobs for Lebanon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, pipelines, and any cool stuff you've built. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data engineering. Practice common interview questions and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from candidates who are excited about joining our team. Plus, it shows you're genuinely interested in what we do at Baanx.
We think you need these skills to ace Data Engineer 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 data pipelines, ETL processes, and cloud platforms like AWS. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects or achievements that demonstrate your expertise in building data warehouses and maintaining data quality. This gives us a clear picture of what you can bring to the team.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences.
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’s super easy!
How to prepare for a job interview at Jobs for Lebanon
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals. Be ready to discuss your experience with ETL processes, data pipelines, and cloud platforms like AWS. They’ll likely want to hear about specific projects you've worked on, so have a couple of examples ready to go.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think through how you would approach common data issues, such as ensuring data quality or optimising data models. Being able to articulate your thought process will impress the interviewers.
✨Familiarise Yourself with Baanx's Services
Do your homework on Baanx and their offerings in the crypto space. Understanding their products and how data engineering plays a role in their services will show your genuine interest and help you connect your skills to their needs.
✨Communicate Effectively
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Good communication is key, so be prepared to demonstrate how you can bridge the gap between tech and business.