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Data Engineer

Job in Greater London, London, Greater London, EC1A, England, UK
Listing for: Jobs for Lebanon
Full Time position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Warehousing
Job Description & How to Apply Below
Location: Greater London

Company Overview

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, 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.
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