The following job is no longer available:
Consultant Data Engineer - FS Sector - Q4 Start

Consultant Data Engineer - FS Sector - Q4 Start

Posted 8 October by Asset Resourcing Limited
Easy Apply Ended
Data Engineering Consultant: Our Client is looking for an experienced Data Engineering Consultant to join their existing DE practice (target start date - November). Based out of their Edinburgh HQ, you will work with their - typically - banking / insurance clients across the region.

As a Data Engineering Consultant, you will have expertise in technical delivery, technologies and concepts in areas such as Data Storage, Data Ingestion, Data Integration, Data Warehousing, Data Preparation and Cloud Infrastructure.

Key Requirements:

c3+ years of experience in a data engineer role developing expert skills from the following range of complementary tech:

Programming background in SQL, transitioning into Python, R, Scala etc
Experience of cloud platforms such as Azure, AWS or GCP
Experience working with the Hadoop ecosystem (Spark, Hive/Impala, Databricks)
Experience working with an ETL tool e.g. Azure Data Factory, SSIS & Talend
Understanding of data modelling techniques e.g. Kimball
Experience working with data streams e.g. Kafka
Experience working with large, structured and unstructured datasets
Experience with database technologies (relational, NoSQL, graph)
Expertise with version control e.g. git


Flexibility to travel to and work on client sites within the UK.
Excellent track record in executive stakeholder management and developing valuable relationships.

Who they are: Our Client is a Data Management and Analytics consultancy, working with leading BI software vendors to enable clients to unlock value and insight from their data. They have c100 consultants working across Retail / Investment Banking, Life & Pensions, and Insurance sectors around the UK. People are at the heart of everything they do and they invest heavily in the training and development of their staff.

Required skills

  • data engineer modelling platform stream SQL Hadoop ecosystem Spark Hive Impala Databricks Java Scala Python Azure AWS GCP

Reference: 41149615

Bank or payment details should never be provided when applying for a job. For information on how to stay safe in your job search, visit SAFERjobs.

Report this job