Head of Engineering Data / Cloud Solutions - AWS - Edinburgh


Premium Job From Nigel Frank International

Recruiter

Nigel Frank International

Listed on

18th July 2018

Location

Edinburgh

Salary/Rate

£100000 - £100000

Type

Permanent

This job has now expired please search on the home page to find live IT Jobs.

Head of Engineering Data / Cloud Solutions - AWS - Edinburgh - up to £100K + Benefits

Type - Permanent

Location - London

Salary - up to £100K

Benefits - flexibility to work from home & remotely policy, personal training budget, company trips, monthly office drinks and lunches.

Head of Engineering Data / Cloud Solutions - AWS (Redshift, EC2, S3, Hadoop, Lambda, etc.)

It's all about staying ahead of the game in the world of Data...we are looking for a talented individual who can champion change and showcase the latest tools to the wider business from AWS Migrations through to SAS Upgrades.

So what is it you will be doing -

* Strategizing and rolling out the Data Engineering Departments plans and how this can help the wider business

* Be the SME within this world - developing a world class team of Data Engineers to setting the frameworks they will operate in

* Deliver projects and work closely with the CIO to drive change over the coming years

What experience do I need -

* Proven background within Data Engineering, whether, you are a current Head of Data to a Senior Manager looking to make the step up.

* Ability to still deliver a technical masterclass when needed to the engineering team, so proven technical skills with legacy BI tools through to Cloud applications such as AWS

* Data Operations Management and a keen interest in the world of Data

If this sounds like you, let's talk!

Please do not hesitate to contact Brad @ Jefferson Frank on 0203 808 7292 or email [email protected]

AWS, EMR, Redshift, Hadoop, R, ETL, SQL, sqoop, hive, spark, big data, architect, pig, Oozie, HDFS, Glasgow, platform, analytics, Data science, RDS, S3, EC2, Lambda, Glue, data pipeline, spark, Hive, Scala, Python, Kafka, MapReduce, HBase, Hive, Apache Spark, Java, Apache, Kafka, Big Data, Spark, Solution Architecture, Cloudera, Apache, Pig, Hadoop, NoSQL, Cloudera Impala, Scala, Python, Data, Engineering, Big Data Analytics, Large Scale Data Analysis, ETL, Linux, Kudu

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