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- Tasks: As an Azure Data Engineer, you'll design and maintain data solutions on the Azure Cloud.
- Company: Join IBM, a leader in tech innovation, working with global clients to drive change.
- Benefits: Enjoy flexible work options, generous leave policies, and a culture that values your ideas.
- Why this job: Be part of a collaborative team that encourages creativity and personal growth in tech.
- Qualifications: You need experience in Azure technologies and a strong background in data engineering.
- Other info: This role requires UK residency and security clearance; no visa sponsorship available.
The predicted salary is between 36000 - 60000 £ per year.
In this role, you’ll work in one of our IBM Consulting Client Innovation Centres (Delivery Centres), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centres offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You’ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you’ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground-breaking impact for a wide network of clients. Our culture of evolution and empathy centres on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
We Offer
- Regular and frequent promotion and progression opportunities to ensure you can drive and develop your career with us.
- Feedback and checkpoints throughout the year; no one off annual reviews here.
- A multitude of training opportunities from classroom to e-learning, mentoring and coaching programs as well as the chance to gain industry recognized certifications.
- Diversity & Inclusion as an essential and authentic component of our culture through our policies and process as well as our Employee Champion teams and support networks.
- A culture where your ideas for growth and innovation are always welcome.
- Internal recognition programs for peer-to-peer appreciation as well as from manager to employees.
- Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, 1 month paid paternity leave, 16 weeks fully paid maternity leave and an innovative maternity returners scheme.
- More traditional benefits, such as 25 days holiday, a gym discount scheme, online shopping discounts, an Employee Assistance Program, a group personal pension plan of an additional 5% of your base salary paid by us monthly to save for your future.
Your Role And Responsibilities
A data engineer with expertise in Azure toolset advises on, develops, and maintains data engineering solutions on the Azure Cloud ecosystem. They design, build, and operate batch and real-time data pipelines using Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure DataBricks, and Event Hub. This role also involves designing, building, and operating the data layer on Azure Synapse Analytics, SQL DW, and Cosmos DB. The data engineer is proficient in Azure Data Platform components, including ADLS2, Blob Storage, SQLDW, Synapse Analytics with Spark and SQL, Azure functions with Python, Azure Purview, and Cosmos DB. They are also proficient in Azure Event Hub and Streaming Analytics, Managed Streaming for Apache Kafka, Azure DataBricks with Spark, and other open source technologies like Apache Airflow and dbt, Spark / Python, or Spark / Scala.
Preferred Education
Bachelor's Degree
Required Technical And Professional Expertise
- Commercial experience as a Data Engineer or similar role, with a strong emphasis on Azure technologies.
- Proficiency in Azure data services (Azure SQL Database, Azure Synapse Analytics, Azure Data Factory, Azure Databricks).
- Experience with data modeling, data warehousing, and big data processing (Hadoop, Spark, Kafka).
- Strong understanding of SQL and NoSQL databases, data modeling, and ETL/ELT processes.
- Proficiency in at least one programming language (Python, C#, Java).
- Experience with CI/CD pipelines and tools (Azure DevOps, Jenkins).
- Knowledge of data governance and data quality principles.
- Excellent problem-solving abilities and a customer-centric approach.
- Strong communication and team collaboration skills.
As an equal opportunities’ employer, we welcome applications from individuals of all backgrounds. However, for you to be eligible for this role, you must have the valid right to work in the UK. Unfortunately, we do not offer visa sponsorship and have no future plans to do so. You must be a resident in the UK and have been living continuously in the UK for the last 10 years. You must be able to hold or gain a UK government security clearance.
Preferred Technical And Professional Experience
- Azure certifications such as Microsoft Certified: Azure Data Engineer Associate or similar.
- Experience with data visualization tools (Power BI, Tableau).
- Familiarity with Agile development methodologies.
- Contribution to open-source projects or community involvement.
Azure data Engineer employer: IBM
Contact Detail:
IBM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Azure data Engineer
✨Tip Number 1
Familiarise yourself with the specific Azure tools mentioned in the job description, such as Azure Synapse Analytics and Azure Data Factory. Being able to discuss your hands-on experience with these tools during interviews will demonstrate your readiness for the role.
✨Tip Number 2
Engage with the Azure community by participating in forums or attending meetups. This not only helps you stay updated on the latest trends but also allows you to network with professionals who might provide valuable insights or referrals.
✨Tip Number 3
Consider obtaining relevant Azure certifications, such as the Microsoft Certified: Azure Data Engineer Associate. This can significantly enhance your profile and show potential employers that you are committed to your professional development.
✨Tip Number 4
Prepare to discuss real-world projects where you've implemented data engineering solutions. Be ready to explain your problem-solving approach and how you collaborated with teams, as this aligns with IBM's emphasis on teamwork and innovation.
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 Azure technologies and data engineering. Use specific examples of projects you've worked on that demonstrate your proficiency in Azure services like Azure Data Factory and Azure Databricks.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at IBM and how your skills align with their needs. Mention your experience with data modelling, ETL processes, and any relevant certifications you hold, such as Microsoft Certified: Azure Data Engineer Associate.
Showcase Problem-Solving Skills: Provide examples in your application that showcase your problem-solving abilities. Discuss specific challenges you've faced in previous roles and how you overcame them, particularly in relation to data governance and quality principles.
Highlight Team Collaboration: IBM values strong communication and teamwork. Include examples of how you've successfully collaborated with others in past projects, especially in Agile environments, to demonstrate your ability to work effectively within a team.
How to prepare for a job interview at IBM
✨Showcase Your Azure Expertise
Make sure to highlight your experience with Azure data services like Azure SQL Database, Azure Synapse Analytics, and Azure Data Factory. Be prepared to discuss specific projects where you utilised these tools and the impact they had on your previous roles.
✨Demonstrate Problem-Solving Skills
IBM values strong problem-solving abilities. Prepare examples of challenges you've faced in data engineering and how you approached them. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Emphasise Collaboration and Communication
As a data engineer, you'll need to work closely with various teams. Be ready to discuss how you've collaborated with others in past roles, particularly in Agile environments. Highlight any experiences where your communication skills made a difference.
✨Stay Curious and Open-Minded
IBM encourages curiosity and innovation. Share instances where you've explored new technologies or methodologies outside your usual scope. This shows your willingness to learn and adapt, which is crucial for success in this role.
