Data Engineer - Manager

Overview

Data Engineer - Manager x5

There are data teams and then there are data teams! Our customer expands enterprises at scale, delivering data technologies across GCP, AWS, and Big Data, with Microsoft Azure at the forefront for some roles. They are looking to expand the teams by five experienced Data Engineering Managers who can lead and assist in varied Cloud Data transformation projects.

This internationally renowned global consulting leader has a track record of delivering enterprise data engineering projects for Private and Public sector organisations including banking, pharma and government. You will have the opportunity to work with the latest multi-vendor cloud technologies and participate in a strong training and personal development program to support 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)

Partner status: Top 1% of Microsoft Partners Globally and a leading partner for AWS and GCP

Positions: 5

• 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

• 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 No
  
  SQL data stores
• Hands-on experience with big data application development and cloud data warehousing (e.g. Hadoop, Spark, Redshift, Snowflake, GCP Big Query)
• 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

Urgent roles and genuinely a career-changing opportunity. Click ‘apply now’, applications being reviewed as a priority

For discussion, contact:

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