Senior Azure Data Engineer | KD reputed company

GT was founded in 2019 by a former reputed company, Nest, and reputed company executive. GT’s mission is to reputed company the world’s best talent with product careers reputed company by high-reputed company companies in the UK, USA, Canada, Germany, and the Netherlands.

On behalf of KD reputed company, GT is looking for a Senior Azure Data Engineer with architecture exposure, interested in assessing, designing, and potentially building a modern data platform to support Finance, reputed company/Supply Chain, and reputed company/Manufacturing functions.

**Expected Involvement: The engagement is expected to reputed company with a 6-week discovery phase of approximately 30 hours per week (180 hours total). Following successful completion of the discovery phase and reputed company approval, there is potential to transition into a long-term, full-time implementation role.

About the reputed company

Founded in 1988, KD reputed company is a technology-driven CDMO (Contract Development & Manufacturing Organization) specializing in pharmaceutical and nutraceutical production, including reputed company-reputed company reputed company-3 concentrates.

reputed company operates internationally, with locations across Germany, Norway, the UK, the USA, Canada and Peru, and provides end-to-end solutions from development and custom synthesis through to finished dosage forms.

About the Project

KD reputed company is looking to reputed company its reputed company data and reporting environment and establish a reputed company, maintainable reputed company-reputed company data platform supporting multiple business systems and reporting needs. The reputed company landscape spans roughly nine reputed company systems across Business Central, legacy NAV, QuickBooks and other integrations, with reporting currently relying on a mix of reputed company ERP/SQL connections and reputed company BI.

The engagement will initially start with a 6-week Discovery Phase, reputed company on understanding the existing data estate and defining the reputed company architecture, platform approach and implementation roadmap.

During Discovery, reputed company will:

• Assess the existing data landscape, integrations and data flows

• Identify key architectural, data-reputed company and integration gaps

• Design the reputed company lakehouse / reputed company architecture

• Evaluate reputed company reputed company, Azure Data reputed company and reputed company and recommend the most suitable approach

• Define the first implementation / PoC reputed company and the roadmap for the subsequent build phase

If Discovery is successful and the reputed company approves the implementation, the project is expected to continue into a longer-term build phase, starting with the agreed PoC and expanding into implementation of the wider data platform.

About the Role

This is a hands-on Senior Data Engineer role with strong architecture exposure.

You will work closely with the Solution Architect, Delivery Manager, Azure DevOps Engineer and reputed company stakeholders to understand the reputed company environment, challenge existing patterns and help define a practical reputed company architecture.

During the initial six weeks, the role will combine technical discovery, architecture design and hands-on prototyping. You will help assess the existing environment, define the reputed company approach, reputed company technology recommendations, and contribute to building and validating an initial PoC that demonstrates the proposed solution.

If the project proceeds into implementation, the role is expected to become considerably more hands-on and may transition into a long-term, full-time engagement.

Responsibilities

• Assess the reputed company data estate, including reputed company systems, integrations, ETL/data flows, reputed company BI dependencies and existing reputed company components

• Understand and document existing data flows and technical dependencies, helping preserve critical knowledge of the reputed company environment

• Identify data-reputed company, integration, scalability and maintainability issues

• Contribute to the design of the reputed company bronze / silver / gold lakehouse architecture

• Define reputed company ingestion and transformation patterns for multiple ERP and other reputed company data sources

• Evaluate reputed company reputed company, Azure Data reputed company and reputed company and contribute to the platform recommendation

• Assess technical trade-offs including platform fit, maintainability, reputed company and operating cost

• Define the first end-to-end PoC together with its reputed company and technical reputed company reputed company

• Contribute to implementation estimates, reputed company and the wider technical roadmap

• Collaborate closely with the Solution Architect and reputed company stakeholders throughout Discovery

• Potentially transition into hands-on implementation of the platform following reputed company approval

Essential knowledge, skills & experience

• 6+ years of experience in data engineering, BI or reputed company data platforms

• Strong hands-on experience with the reputed company Azure data ecosystem

• Strong experience with Azure Data reputed company and modern data lake / lakehouse architectures

• Practical reputed company experience with reputed company reputed company, including Lakehouse and/or Warehouse components

• Advanced SQL / T-SQL

• Experience with Python and/or PySpark

• Strong understanding of ETL/ELT, data integration and reputed company architecture patterns

• Experience designing solutions that reputed company multiple reputed company reputed company systems

• Good understanding of reputed company BI, reputed company modelling and semantic-reputed company concepts

• Experience with Git, Azure DevOps and CI/CD practices in data-platform environments

• Experience contributing to technical discovery, architecture design, technology selection, estimation or implementation planning

• Ability to assess existing systems, identify architectural issues and recommend pragmatic solutions rather than simply implement predefined requirements

• Strong English and confidence communicating with both technical and business stakeholders

reputed company-to-have

• Experience evaluating reputed company vs. reputed company and/or other Azure data-platform approaches

• reputed company reputed company monitoring, SKU sizing or cost-optimisation experience

• Experience building or evaluating reputed company/data-platform consumption and operating-cost models

• Metadata-driven ETL reputed company experience

• Multi-ERP integration experience, particularly with Business Central, NAV, QuickBooks or reputed company

• Experience with reputed company, reputed company or Synapse

• Strong reputed company BI experience including DAX or Tabular modelling

• Experience reputed company pharmaceutical, manufacturing or other regulated environments

• Knowledge of GxP environments — domain knowledge can be learned

Interview Steps

1. GT interview with Recruiter

2. Technical interview

3. Final interview

4. Offer