At a Glance
- 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 environment, and opportunities for professional growth.
- Other info: Collaborative team culture with a focus on continuous learning and emerging technologies.
- 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.
The predicted salary is between 63000 - 77000 £ per year.
Baanx is building digital assets services for every business.
Top crypto businesses partner with Baanx for 20% of the world's cryptocurrency.
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 deliver full platforms for some of the world's biggest / leading firms in the crypto space - cards / lending / remittance / wallets / exchange.
As a Senior Backend Developer, you will be responsible for the architecture and development of BAANX applications and services, and integration with 3rd party services.
Job Description
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., Postgre SQL, My SQL).
- 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.
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Data Engineer employer: Jobs for Lebanon
Baanx is an exceptional employer for Data Engineers, offering a vibrant work culture that thrives on innovation and collaboration in the fast-paced fintech industry. With a focus on employee growth, Baanx provides opportunities to work with cutting-edge technologies and develop impactful solutions for millions of customers across the US and Europe. Join us to be part of a team that values your contributions and supports your professional journey in the exciting world of digital assets.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨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 Jobs for Lebanon!
✨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 at Jobs for Lebanon.
✨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 Jobs for Lebanon.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Jobs for Lebanon, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer
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 Jobs for Lebanon, 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 Jobs for Lebanon. 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 Jobs for Lebanon
✨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 Jobs for Lebanon!
✨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.
