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- Tasks: Lead data engineering teams and manage cloud transformation projects.
- Company: Join a top global consulting firm and Microsoft Global Alliance Partner.
- Benefits: Enjoy a hybrid work model, competitive salary, and generous bonuses.
- Why this job: Work with cutting-edge technologies and enjoy a people-first culture.
- Qualifications: Experience in cloud data engineering and team management is essential.
- Other info: Five positions available; apply now for a career-changing opportunity!
The predicted salary is between 54000 - 84000 £ per year.
There are data teams and then there are data teams! Our customer puts enterprise at a new scale, not only with the size of their client engagements, but also with their own size as one of the big 4 and one of the first ever Microsoft Global Alliance Partners. As a result of significant customer wins, they are now looking to expand the teams by 5 experienced Data Engineering Managers who can lead and assist them in their varied Cloud Data transformation projects.
This internationally renowned global consulting leader has a proven track record of delivering leading edge enterprise data engineering projects/programmes for a variety of Private and Public sector organisations including banking, pharma and government. You will get fantastic project diversity and the opportunity to work with the latest multi-vendor cloud technologies.
The company puts its employees first with an incredibly people-centric approach, inclusive team culture and a world-renowned training and personal development programme to give you a truly realistic opportunity for steep career progression.
Salary: Up to £75k + Up to £10K cash incentives/bonus + Globally Recognised Training & Development
Hybrid Role – requires office presence 2-3 days per week in London (flexible for the right person)
As the successful Data Engineering Manager / Lead Cloud Data Engineer/Consultant you will have:
- Relevant commercial experience in a Cloud Data Engineering role
- Team management experience (essential)
- Practical experience working with cloud platforms (Azure, AWS, GCP)
- Hands-on experience with SQL, Data Pipelines, Data Orchestration and Integration Tools
- Experience in data platforms on premises/cloud using technologies such as: Hadoop, Kafka, Apache Spark, Apache Flink, object, relational and NoSQL data stores.
- Hands-on experience with big data application development and cloud data warehousing (e.g. Hadoop, Spark, Redshift, Snowflake, GCP BigQuery)
- Expertise in building data architectures that support batch and streaming paradigms
- Experience with standards such as JSON, XML, YAML, Avro, Parquet
- Strong communication skills
- Open to learning new technologies, methodologies, and skills
As the successful Data Engineering Manager you will be responsible for:
- Building and maintaining data pipelines
- Identifying and patching issues and bugs identified in the pipeline/architecture
- Working as part of a data specialist team to deliver quality service
- Providing access and identity management to onboard new customers onto the pre-existing platform
- Communicating with key stakeholders to define data requirements
Urgent roles and genuinely a career-changing opportunity. Click ‘apply now’, applications being reviewed as a priority or get in touch with Marija Rudenko for further discussion: marija@clouddecisions.co.uk
Cloud Decisions are proud to be selected as specialist talent acquisition provider by Microsoft UK for their UK Partner Talent Services, created to support UK Partners with a range of specialist talent services. We can help you to connect with some of the best cloud career opportunities within the Microsoft Partner ecosystem, so please get in touch with us for a confidential consultation.
Data Engineer - Manager employer: Cloud Decisions
Contact Detail:
Cloud Decisions Recruiting Team
marija@clouddecisions.co.uk
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Manager
✨Tip Number 1
Familiarise yourself with the specific cloud technologies mentioned in the job description, especially Azure, AWS, and GCP. Having hands-on experience or relevant certifications in these platforms can significantly boost your chances of standing out.
✨Tip Number 2
Highlight your team management experience during networking opportunities. Connect with current employees on LinkedIn to learn more about their experiences and the company culture, which can help you tailor your approach when applying.
✨Tip Number 3
Prepare to discuss your experience with data pipelines and orchestration tools in detail. Be ready to share specific examples of how you've built or maintained data architectures that support both batch and streaming paradigms.
✨Tip Number 4
Show your enthusiasm for continuous learning and adapting to new technologies. This role values open-mindedness towards new methodologies, so be prepared to discuss how you've embraced change in your previous roles.
We think you need these skills to ace Data Engineer - Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Cloud Data Engineering, team management, and specific technologies mentioned in the job description, such as Azure, AWS, and GCP.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and leadership. Mention specific projects or experiences that align with the company's focus on cloud data transformation.
Highlight Technical Skills: Clearly list your hands-on experience with SQL, data pipelines, and big data technologies like Hadoop and Spark. Use bullet points for clarity and impact.
Showcase Soft Skills: Emphasise your strong communication skills and openness to learning new technologies. Provide examples of how you've successfully collaborated with stakeholders in previous roles.
How to prepare for a job interview at Cloud Decisions
✨Showcase Your Technical Expertise
As a Data Engineering Manager, it's crucial to demonstrate your hands-on experience with cloud platforms like Azure, AWS, and GCP. Be prepared to discuss specific projects where you've built data pipelines or worked with big data technologies such as Hadoop or Spark.
✨Highlight Team Management Skills
Since team management experience is essential for this role, share examples of how you've successfully led teams in previous positions. Discuss your approach to mentoring and developing team members, as well as how you handle conflicts or challenges within the team.
✨Communicate Clearly with Stakeholders
Strong communication skills are vital for this position. Prepare to explain how you've effectively communicated data requirements to stakeholders in the past. Use specific examples to illustrate your ability to bridge the gap between technical and non-technical audiences.
✨Demonstrate a Willingness to Learn
The company values individuals who are open to learning new technologies and methodologies. Be ready to discuss any recent skills or technologies you've acquired and how you plan to continue your professional development in the ever-evolving field of data engineering.
