Data Engineer

Michael Page; Manchester; Hybrid; GBP 50,000 - 60,000; Full time

Benefits offered by this job

Competitive salary

Hybrid working model

Comprehensive benefits package

10% pension

Job summary

A leading data solutions provider in Manchester is seeking a Data Engineer to design and maintain data pipelines to enhance analytics within the industrial sector. The role offers a competitive salary between £50,000 and £60,000, hybrid working opportunities, and career growth in a collaborative environment.

Qualifications

• Exposure to Microsoft Azure, especially Azure Synapse.
• Experience with Azure Data Factory.
• Proficient in debugging, monitoring, and tuning BI solutions.

Responsibilities

• Develop and implement data and reporting solutions using Microsoft technologies.
• Support transition to new cloud technologies while dealing with older systems.
• Document business requirements and propose solutions.

Skills

Microsoft Azure

Azure Synapse

Azure Data Factory

Power BI

SQL SSIS

Data governance

Job description

Base pay range

This role involves designing, developing, and maintaining robust data pipelines to support analytics within the industrial and manufacturing sector. The successful candidate will be heavily involved in supporting our cloud migration transition. Based in Manchester City Centre, we are a leader in our field in the UK and Ireland

We are a testing, inspection, certification, and compliance (TICC) company founded in 1859 that provides risk management solutions to ensure safety and compliance for a wide range of industries. We serve over 35,000 customers with services like electrical testing, asset management, non-destructive testing (NDT), and inspections for infrastructure, manufacturing, and healthcare facilities.

Description

The Successful Data Engineer will be responsible for but not limited to:

• Development and implement data and reporting solutions from our Dynamics, in-house and 3rd party sources, using the latest Microsoft technologies: Azure Synapse Analytics & Azure Data Factory, Azure Data Lake, Azure SQL Database
• Support older Microsoft Technologies whilst we are in transition: SSIS and SSRS. Supporting change and migration efforts.
• Work with other members of the team or directly with business users to understand and document business requirements, evaluate options, research and propose suitable solutions. Using your stakeholder management skills to translate outcomes to business requirements and then design specifications for agreement and delivery
• Ensure that all work is carried through the environments, source controlled with regularity and deployment packages are robust and well organised. Ensuring all conflicts in this area are merged/escalated effectively supporting the development and enhancement of our CI/CD pipelines.
• Take an active role in ensuring the highest quality of our processes and the data we provide

Profile

The successful Data Engineer will be able to demonstrate exposure to:

• Microsoft Azure, Especially Synapse
• ADF
• Power BI
• SQL SSIS, SSRS, SSAS with some understanding of Power App design and delivery
• Understanding of data modelling concepts
• Working with code management & deployment tools
• Proficient in debugging, monitoring, tuning and troubleshooting BI solutions.
• Knowledge and a proven track record in data governance / data quality management

Job Offer

The successful Data Engineer can expect:

• Hybrid working (2 days in the Manchester office)
• A competitive salary ranging from £50,000 to £60,000, DOE.
• Permanent position based in Manchester with opportunities for career growth.
• Comprehensive benefits package including a 10% pension.
• An engaging role within the industrial and manufacturing sector.
• A collaborative and supportive work environment in a reputable organisation.

If you are passionate about data engineering and are ready for a new challenge in the Manchester area, then apply today!

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Information Technology
• Industries IT System Testing and Evaluation