Data Engineer at invygo

Cairo, Cairo, Egypt -

Full Time

Start Date

Immediate

Expiry Date

26 Apr, 26

Salary

0.0

Posted On

26 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL, ELT, AWS, Python, SQL, Data Warehousing, Data Migration, Data Quality Assurance, Scraping, DevOps, Agile, Performance Tuning, Data Integration, Monitoring, Batch Jobs

Industry

technology;Information and Internet

Description

About invygo invygo was founded in 2018 in Dubai with the purpose of redefining mobility in the Middle East and North Africa (MENA). Fuelled by a passion for innovation, technology and mobility, our mission is to empower people to move on their own terms, minimising the frustrations caused by traditional car ownership models. We make car access seamless and flexible for everyone.. We believe invygo is the smartest way to move, and to keep living up to our ideal, we rely on our people to share these goals and ambitions. Headquartered in Dubai, with offices in Riyadh and Cairo, our team consists of passionate, dedicated, bold innovators that are relentless in enabling the company to deliver a trusted and personalised experience that transforms how people move in MENA. With successful expansions into UAE, Saudi Arabia and Qatar, our footprint is rapidly growing as we continue to innovate and transform the automotive landscape across the region. At invygo, we’re not just offering a service; we’re crafting a new era of mobility in MENA. We are always seeking passionate, dedicated and innovative thinkers to join us in making our future vision a reality. If you are that person, join us in moving the MENA mobility landscape forward and continuing to insure that invygo is, and remains, the smartest way to move. About the role At invygo, we are revolutionizing the way people lease cars. As a Data Engineer on our team, you'll play a key role in powering data-driven decisions across the business. Your work will focus on building scalable data pipelines, managing integrations from diverse sources, and ensuring the accuracy and reliability of critical datasets. What you will be doing Design, implement, and maintain ETL/ELT pipelines using AWS and custom scripts. Ensure robust data syncing between DWH and data sources. Develop and maintain scrapers of websites and mobile applications. Set up alerts and monitoring for data anomalies (e.g. missing data, syncing issues). Implement data quality assurance and validation frameworks. Improve query and system performance, including optimization of Redshift clusters, table vacuuming, and scheduling batch jobs. Work closely with DevOps for data flow integration across environments. Transition legacy ETLs to modern platforms and ensure scheduled exports run reliably. Eliminate redundant procedures and replace outdated solutions. 3+ years of proven experience as a Data Engineer Excellent programming skills in Python and SQL. Hands-on experience with AWS (DMS, Redshift, S3, Glue). Familiarity with data scraping techniques and frameworks. Strong understanding of data warehousing concepts and performance tuning. Experience with data migration. Knowledge of DevOps practices and working in Agile environments. Ability to work independently and collaboratively in a fast-paced environment.

Responsibilities

The Data Engineer will design, implement, and maintain ETL/ELT pipelines and ensure robust data syncing between data warehouses and sources. They will also develop scrapers, set up alerts for data anomalies, and improve system performance.