Macildowie Recruitment & Retention - Data, BI & MI Analytics
Senior Data Engineer - Up to 85,000 - Nottingham
Monday - Friday, 9am - 5pm - Hybrid / Remote

Macildowie Data Analytics is delighted to have exclusively partnered with a reputable and growing organisation to recruit a Senior Data Engineer / Developer.

You will play a pivotal role in streamlining our client’s workflow and data infrastructure which would include writing SQL code, whilst extracting and cleansing data from core systems working towards building and selecting a data warehouse for the business.

Main Responsibilities
*Develop, maintain, and distribute critical operational reports to senior management and key stakeholders. These reports will offer valuable insights into operational performance, guiding our client’s actions.
*Extract data from core systems, whilst using SQL to write and cleanse data to ensure data availability and accuracy.
*Establish and support the wider business with building a robust data warehouse for ongoing reporting.
*Scrutinise data quality, rectify discrepancies, and proactively identify and address dataset issues to guarantee precision in our analysis.
*Conduct thorough gap analyses within datasets and collaborate with the business to implement solutions, fostering continuous improvement.
*Playing a crucial role in the preparation and monitoring of weekly/monthly metrics required for regulatory reporting using PowerBI.
*Create insights that pinpoint and prioritise key areas for the business, ensuring our focus aligns with industry trends and emerging opportunities.
*Cooperating with stakeholders to provide appropriate value-adding commentary helping our client identify gaps and explore.
*Map, scope and support cross functionally with the build of a new data warehouse.
*Identify opportunities to automate data processes and implement data quality control measures.

The Candidate
*Proficiency in handling and integrating large, complex datasets.
*Experience using and coding SQL to interrogate datasets and to derive insights.
*Demonstrated expertise in data manipulation techniques, including data cleaning, transformation, and aggregation.
*Proficient user of data visualisation tools such as Power BI and Excel to effectively communicate insights, trends, and findings.
*Exhibit strong problem-solving skills, approaching data challenges with analytical thinking and innovative solutions.
*Previous experience data warehousing or with legacy and modern database technologies.
*A background in wealth management or financial planning.

The first stage of the application process is to apply online. If you would like any more information about this vacancy before applying, please get in touch with Tom Whitsey.


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