Data Engineer Managed Services
Data Engineer Managed Services
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Job Description
ROLE
The role operates as a key member of our Managed Services team assisting with the design and provisioning of Azure infrastructure for our customers cloud workloads including Data Analytics platforms and providing DevOps support during solution delivery and on into production operation.
This is a customer facing position. You will be working with our customers daily. Youll be working collaborating and socialising with your colleagues across all four offices. There will be a need to occasionally work outside of the normal office hours but this can be remotely (from your home).
RESPONSIBILITIES
As a Data Engineer Managed Services you will be expected to do the following:
- Understand new Azure technology developments and develop the application of these to our customers scenarios.
- Influence the architecture of solutions such that they are supportable including input into delivery frameworks and processes.
- Ensure that technical knowledge is transferred and retained.
- Act as a technical point of escalation for the Managed Service we deliver to our clients.
- Collaborate on the definition and ongoing improvement of internal processes.
- Mentor the junior team members of Managed Service team.
Qualifications :
EXPERIENCE & SKILLS
- Enterprise level cloud & infrastructure practices and an interest in application delivery.
- An attention to detail and a focus on continual improvement.
- Problem solving Ability to identify opportunities and issues.
- Ability and attitude towards investigating and sharing new technologies.
- Willingness to learn based on feedback and able to help others develop.
- Strong written and spoken English.
- Interpersonal skills.
- Experience of most of the following (but not limited to) : Microsoft Azure Cloud Adoption Framework (CAF) Azure Landing Zones Hub/Spoke Networks ARM Templates Azure DevOps including Pipelines. and Repos.
Core:
- SQL Server (TSQL)
- SSIS
- Azure Data Factory
- Power BI
- Azure Synapse
Supporting:
- Python/Pyspark(Databricks)
- PowerShell
- Azure Data Lake
Principles:
- Data Modelling
- Data Warehousing concepts
Nice to have:
- Azure DevOps
- Source control/ Branching concepts.
- DAX
Additional Information :
We dont believe hiring is a tick box exercise so if you feel that you dont match the job description 100 but would still be a great fit for role please get in touch.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
