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Data Engineer (SC Cleared)

Austin Fraser

London

On-site

GBP 45,000 - 75,000

Full time

14 days ago

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An established industry player is seeking a skilled Data Engineer to join their dynamic team. In this role, you'll develop and maintain innovative data products while contributing to a Strategic Data Platform. With a focus on operational stability, you'll collaborate within Agile delivery teams to ensure the success of data initiatives. The ideal candidate will have over three years of experience in data engineering, strong proficiency in Azure tools, and a knack for data visualization with Power BI. If you're passionate about data and eager to make a significant impact, this opportunity is for you!

3+ years of data engineering experience with strong skills in Azure and SQL.
Proficient in data visualization and reporting using Power BI.

Develop and maintain data products on a Strategic Data Platform.
Work within Agile teams to ensure operational stability of data products.

Azure Data Factory

Synapse data solutions

Azure DevOps

Power BI

Python

PySpark

SQL

Terraform

Typical Responsibilities:

Develop and maintain data products and a Strategic Data Platform. Data Engineering teams are responsible for the delivery and operational stability of the data products built and provide ongoing support for those products. Data Engineers work within, and contribute to, the overall data development life cycle process as part of multi-functional Agile delivery teams focused on one or more products. Data Engineers should have the following essential skills:

Typical Data Engineering Experience required (3+ years):

Strong knowledge and experience:

Azure Data Factory and Synapse data solution provision
Azure Devops
PowerBi
Python
PySpark

(Preference will be given to those who hold relevant certifications)

Proficient in SQL.

Knowledge of Terraform

Ability to develop and deliver complex visualisation, reporting and dashboard solutions using tools like Power BI.

Experience of data modelling and transforming raw data into datasets and extracts.

Experience of working in a large project/scale complex organisation and knowledge of migrating Legacy capabilities.

Experience in Agile.

Ability to perform data profiling and quality measurements, ensure data quality/accuracy, knowledge of structured and unstructured data concepts, developing automated data ingest routines, workflows/mappings and data exploitation patterns and data analysis.

Ability to analyse and collect information and evidence, identify problems and opportunities, and ensure recommendations fit with strategic business objectives.

Experience of building team capability through role modelling, mentoring, and coaching.

Ability to manage relationships with non-technical colleagues and can work in a collaborative, inclusive way.

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