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- Tasks: Join us as a Data Engineer to migrate CRM data into Microsoft Dynamics 365.
- Company: Kinetech is a forward-thinking company focused on innovative data solutions.
- Benefits: Enjoy remote work flexibility, competitive salary, bonuses, and great benefits.
- Why this job: Make a real impact in a collaborative environment while shaping the future of data.
- Qualifications: Experience with Azure technologies, ETL tools, and strong SQL skills are essential.
- Other info: This role offers autonomy and the chance to build modern cloud-native data solutions.
The predicted salary is between 42000 - 66000 £ per year.
We are looking for a hands-on Data Engineer / Migration Engineer to support the migration of CRM data from various OpCo's, using a variety of legacy source systems, into the Microsoft Dynamics 365 Customer Engagement (CE) platform. You will be responsible for extracting, transforming, cleansing, and loading data, ensuring quality and consistency throughout the process.
This role is ideal for someone with a strong technical background in data engineering and experience with Microsoft / Azure data tools, particularly in a CRM or Dynamics / D365 environment. In the medium term, there will be scope and opportunity to build modern, cloud-native data solutions using Azure Synapse or Microsoft Fabric.
Key Responsibilities- As the sole Data Engineer for this programme of work, perform ETL (Extract, Transform, Load) processes to migrate data into D365 CE modules (e.g., Sales, Customer Service, Field Service).
- Work with data from legacy CRM systems, spreadsheets, databases, and other source platforms.
- Map source data to Dynamics 365 CE entities such as Accounts, Contacts, Leads, Cases, and Opportunities.
- Cleanse, deduplicate, and transform data to align with target data models and business rules.
- Build, test, and maintain data pipelines to support data movement.
- Conduct data profiling and validation to identify quality issues or transformation requirements.
- Support test migrations and assist with reconciliation and defect resolution during trial runs.
- Collaborate with functional consultants and data owners to refine mappings and resolve data discrepancies.
- Significant Data Migration and Data Engineering experience, ideally with some prior exposure to a Dynamics 365 CE (Sales, Customer Service, Field Service) or Microsoft Dataverse environment.
- Experience with Microsoft Azure technologies and data services (e.g., Azure Data Factory, Azure Synapse Analytics).
- Strong hands-on experience with ETL tools such as Azure Data Factory, Power Platform Dataflows, SSIS, or KingswaySoft.
- Solid skills in SQL, T-SQL and relational databases.
- Experience of Azure Fabric and its use in Data engineering and Data management.
- A high degree of proficiency with tools like Terraform, PySpark, and Databricks.
- Understanding of data migration concepts, including mapping, transformation, cleansing, and validation.
- Strong attention to detail and problem-solving ability.
- Must be comfortable in a sole / senior / responsible level role, able to work with autonomy.
This is a great opportunity to make a real impact, working in a collaborative environment where your ideas will help shape the future of data within the business.
Ready to take the next step? Please apply today for immediate CV review.
Azure Data Engineer employer: Kinetech
Contact Detail:
Kinetech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure Data Engineer
✨Tip Number 1
Familiarise yourself with Microsoft Dynamics 365 CE and its data structures. Understanding how data is organised within the platform will help you demonstrate your ability to map and transform data effectively during interviews.
✨Tip Number 2
Brush up on your ETL skills, particularly with Azure Data Factory and other relevant tools. Being able to discuss specific projects where you've successfully implemented ETL processes will showcase your hands-on experience.
✨Tip Number 3
Network with professionals in the Azure and data engineering community. Engaging with others in the field can provide insights into the latest trends and best practices, which you can mention during your discussions with us.
✨Tip Number 4
Prepare to discuss your problem-solving approach, especially in relation to data quality issues. Be ready to share examples of how you've identified and resolved discrepancies in data migration projects.
We think you need these skills to ace Azure Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data migration, Azure technologies, and any relevant CRM systems. Use specific examples that demonstrate your hands-on skills in ETL processes and data cleansing.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your familiarity with Microsoft Dynamics 365 and how your background aligns with the responsibilities outlined in the job description.
Showcase Technical Skills: Clearly list your technical skills related to Azure Data Factory, SQL, and any other relevant tools like Terraform or Databricks. Providing context on how you've used these tools in past projects can strengthen your application.
Highlight Problem-Solving Abilities: Include examples of how you've tackled data quality issues or resolved discrepancies in previous roles. This will demonstrate your attention to detail and problem-solving capabilities, which are crucial for this position.
How to prepare for a job interview at Kinetech
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure technologies and data services. Highlight specific projects where you've used Azure Data Factory, Synapse Analytics, or any ETL tools relevant to the role.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills, especially in data migration scenarios. Prepare examples of how you've tackled data quality issues or resolved discrepancies in past projects.
✨Understand the Dynamics 365 Environment
Familiarise yourself with Microsoft Dynamics 365 CE and its modules. Be ready to explain how you would map source data to entities like Accounts and Contacts, showcasing your understanding of the platform.
✨Emphasise Collaboration Skills
Since you'll be working closely with functional consultants and data owners, highlight your ability to collaborate effectively. Share experiences where teamwork led to successful project outcomes.
