Data Engineer

Job not on LinkedIn

🕒 March 20

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 76%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Jobs for Lebanon

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

👥 B2C

B2B • B2C

Jobs for Lebanon is a citizen-led initiative established in early 2020 by a group of Lebanese ex-pats and locals with the goal of addressing the economic crisis in Lebanon. It serves as an online hiring marketplace where employers can post job openings while Lebanese candidates can browse and apply for opportunities directly through the platform. This initiative aims to connect the 16 million Lebanese in the diaspora with qualified talents in Lebanon, fostering economic opportunities for the local workforce. Jobs for Lebanon operates using SmartRecruiters, a prominent online recruiting software.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Employees can work remotely