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- Tasks: Join a dynamic team to shape data integration methodologies and drive best practices.
- Company: Exciting tech company on a data transformation journey.
- Benefits: Flexible benefits, excellent pension scheme, and a focus on work-life balance.
- Why this job: Make an impact in data engineering while working with cutting-edge technologies.
- Qualifications: Experience with Microsoft Dynamics 365, Azure Data Factory, and SQL.
- Other info: Hybrid role with remote work and opportunities for career development.
The predicted salary is between 36000 - 60000 £ per year.
We have an exciting new permanent opportunity for a dynamic Data Engineer to join a fantastic & growing team at the best timing possible as the business has just embarked on a data transformation journey. This role will give you the chance to showcase your expertise to help shape data integration methodologies, processes, and standards, driving adoption and best practices across the team.
You’ll be working closely with Data Architects, Developers and business stakeholders and will be involved in some exciting projects as well as BAU activities like building and maintaining efficient data pipelines between Dynamics 365 CRM, Azure SQL databases, SharePoint, and analytical platforms using tools such as SSIS, Azure Data Factory, and Kingsway Soft.
We’re looking for someone with good experience of Microsoft Dynamics 365 CRM data structures and architecture and experience orchestrating data pipelines using Azure Data Factory. Hands-on experience with SQL Server Integration Services (SSIS), including complex package development & strong T-SQL skills with experience in query optimisation and performance tuning.
In addition to the technical capabilities aforementioned, we’re looking for someone with a very proactive approach, good communication skills and the ability to engage with people at different levels, technical & non-technical.
This is a hybrid position - working remotely most of the time with 1 or 2 days per week in the office in central Birmingham, 35 hrs per week. Our client offers an inclusive, supportive and friendly working environment and the chance to develop your career. They are committed to the health and wellbeing of staff, helping everyone to strike a good balance between personal and professional life. Additionally, they offer a generous flexible benefits package, an excellent defined contribution pension scheme and an additional 3% of annual basic salary upon successful completion of probation.
For more information and/or immediate consideration, please apply online and/or contact Simon Corney.
Data Engineer in Birmingham employer: Connected IT
Contact Detail:
Connected IT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Birmingham
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who might know about opportunities at companies you're interested in. A friendly chat can sometimes lead to a referral, which is gold in the job market.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Azure Data Factory and SQL. This gives potential employers a tangible look at what you can do, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our fantastic team during this exciting data transformation journey.
We think you need these skills to ace Data Engineer in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Microsoft Dynamics 365, Azure Data Factory, and SQL. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this opportunity and how your proactive approach and communication skills will benefit our team. Let us know why you’re the perfect fit!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building data pipelines or optimising queries, we love to see real examples of your work that demonstrate your expertise.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. We can’t wait to hear from you!
How to prepare for a job interview at Connected IT
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Microsoft Dynamics 365, Azure Data Factory, and SQL. Be ready to discuss your hands-on experience with SSIS and T-SQL, as well as any complex package development you've done. The more specific examples you can provide, the better!
✨Showcase Your Communication Skills
Since you'll be working closely with Data Architects, Developers, and business stakeholders, it's crucial to demonstrate your ability to communicate effectively. Prepare to share examples of how you've engaged with both technical and non-technical team members in past projects.
✨Highlight Your Proactive Approach
The role requires a proactive mindset, so think of instances where you've taken the initiative in your previous roles. Whether it was improving data integration methodologies or driving best practices, be ready to discuss how your proactive nature has positively impacted your team.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about challenges you've faced in building and maintaining data pipelines and how you overcame them. This will show your potential employer that you're not just technically skilled but also capable of critical thinking.
