Data Engineer

Overview

Design, build, and secure big data pipelines and analytics on Azure platforms

Key Responsibilities

• testing
• data security
• data integration
• infrastructure
• implementation

Tasks

-Planning, designing and conducting tests of the implementations, correcting errors and re-testing to achieve an acceptable result. -Securing the data supply chain, understanding how data is ingested from different sources and combined / transformed into a single data set. -Working with colleagues to ensure that the on-prem/cloud infrastructure available is capable of meeting the solution requirements. -Implementing designed / specified solutions into the chosen platform -Working with colleagues to understand and implement requirements

Requirements

• python
• mulesoft
• azure devops
• sql server
• spark
• degree

What You Bring

-Appreciate how to manage the data including security, archiving, structure and storage. -Experience of working in an agile environment, within a self-organizing team. -Experience in Data Modeling for optimizing the solution performance -Proficiency in Python scripting. Experienced in using different python modules used for data munging -Experience in designing solutions using databases and data storage technology using RDBMS (MS SQL Server) -6+ years of experience at various levels of Data Engineering roles including 3 years in technical lead role managing end to end solution. -Experience with ETL and/or data integration tool - MuleSoft -Experienced in Azure DevOps -Experience of designing solutions deployed on Microsoft and Linux operating systems -Understanding how to analyze, cleanse, join and transform data. -Experience building and optimizing BigData data pipelines, architectures and data sets using MS Azure data management and processing components through IaaS/PaaS/SaaS implementation models implemented through custom -Good understanding of infrastructure components and their fit in different types of data solutions -Be up to date with data processing technology / platforms such as Spark (Databricks) -Degree level education in Mathematics, Scientific, Computing or Engineering discipline or equivalent experience

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Benefits

-Paid time off -Vision insurance -401(k) matching -Life insurance -Health insurance -Dental insurance -Referral program

About Quest Global

-By blending deep technical know‑how with digital innovation, it evolved into a global engineering partner. -Projects range from next‑gen automotive safety systems and AI‑driven semiconductors to cutting‑edge aerospace and defense platforms. -Its financial growth is steady—built on recurring partnerships with Fortune‑top‑10 clients across key sectors. -A hallmark project: sustaining global EMS/ADMS energy‑management software for a major utilities provider. -Another standout: accelerating MRI development and support globally for a leading MedTech firm. -Its edge lies in full‑lifecycle delivery—concept, design, embedded software, manufacturing support, digital sustenance. -Known for foresight, the firm not only solves challenges but anticipates and prevents them.

Sector Specialisms