Data Engineer

Hexegic Limited; United States; Hybrid; GBP 50,000 - 70,000; Full time

Benefits offered by this job

Professional development budget

Wellness program

25 days annual leave

Job summary

Hexegic Limited is seeking a data engineer to contribute to a robust data foundation, enabling new analytical workflows and applications. You will build data integrations, run ETL processes, and connect datasets while working with SMEs to validate models and outputs.

The role requires proficiency in Python with Spark and PySpark, experience with data analytics software, and the ability to translate requirements into technical specs.

Qualifications

• Proficiency in Python and experience with Apache Spark and PySpark.
• Experience with data analytics software or platforms.
• Ability to translate user requirements into technical specifications.

Responsibilities

• Establishing new data integrations within the data foundation.
• Conduct ETL activities as conducted by SMEs.
• Configuring connections to other datasets within the data foundation.
• Collaborate with SMEs to create, test and validate data models and outputs.
• Set up monitoring and ensure data health for outputs.

Skills

Python

Data analytics

Tools

Apache Spark

PySpark

Job description

As data engineer, you will contribute to the development of a robust, validated and easily accessible data foundation instrumental in facilitating new analytical workflows and applications.

About us

Hexegic are a leading technical consultancy providing agile multi-disciplinary teams to high performing organisations. The company promises exciting, engaging and rewarding projects for those that are keen to develop and build a successful career.

Core Responsibilities

• Establishing new data integrations within the data foundation
• Conduct ETL activities as conducted by SMEs
• Configuring connections to other datasets within the data foundation
• Collaborate with SMEs to create, test and validate data models and outputs
• Set up monitoring and ensure data health for outputs

What we are looking for

• Proficiency in Python, with experience in Apache Spark and PySpark
• Previous experience with data analytics softwares
• Ability to scope new integrations and translate user requirements into technical specifications

What’s in it for you?

• Base salary of £50,000-£70,000
• £5000 a year professional development budget
• Wellness program
• 25 days annual leave
• Hybrid working arrangements

Please note that successful candidates must be eligible for UK security clearance