👨🏻‍💻 postech.work

Data Engineer

Norton Blake • 🌐 In Person

In Person Posted 1 week ago

Job Description

Key Skills \& Tools

Strong background in

Data Engineering

: building, maintaining, and optimizing data pipelines

Experience with

Data Management \& Integration

(Databricks, SQL)

Hands-on

Data Visualization

skills, particularly with Power BI

(Optional)

Data Modelling

with Python

Solid understanding of

Reporting \& Business Intelligence

practices

Ability to translate

business requirements

into scalable data solutions

Strong

stakeholder communication

and collaboration skills

Experience working in

Agile development environments

(Nice to have)

Energy Consumption experience

Role Overview

We are seeking a

Data Engineer with strong Power BI expertise

to join our data team. This role will focus on building robust data pipelines, integrating diverse sources, and enabling effective data visualization for business stakeholders. The individual will play a key role in both

quick-win reporting initiatives

and managing a broader roadmap for one of our high-growth sales segments.

Responsibilities

Design, develop, and maintain

data pipelines and integrations

across multiple sources

Ensure data is accurate, reliable, and structured for

reporting and analytics use cases

Partner with business stakeholders to gather requirements and deliver effective Power BI dashboards

Deliver

quick-win solutions

using Excel or MAP onboarded data sources

Take ownership of a

specific sales segment roadmap

, defining requirements, structuring tasks, and delivering actionable insights

Work closely with analysts and business teams to ensure data availability and usability

Support the agile delivery of new data and reporting capabilities

What We Need This Person For

To support

small-scale data and reporting initiatives

, developing solutions that quickly add business value

To provide structure and technical leadership for a

sales segment with multiple upcoming data initiatives

, ensuring requirements are captured, pipelines are built, and insights are delivered efficiently

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