Data Engineer - Manager x5
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 (*all data technologies will be delivered (GCP/AWS/Big data) although Microsoft Azure is at the forefront of some roles). As a result of insane customer wins, they are now looking to expand the teams by 5 experienced Data Engineering Managers who can be at the level to 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; and not only will you get fantastic project diversity, you will also get 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 what is known as a world renowned training and personal development programme to give you a truly realistic opportunity for steep career progression.
???? 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)
???? Work for the Top 1% of Microsoft Partners Globally and one of the top global partners for AWs and GCP
???? 5 Positions Available
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 g et in touch with Marija Rudenko for further discussion:
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