Senior Data Engineering Consultant: Our Client is looking for an experienced Data Engineering Consultant to join their existing DE practice (target start date – September). Based out of their regional HQ in London, you will work with their – typically – banking / insurance clients across the South East region.

As a Senior 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:

c5+ years of experience in a data engineer role developing expert SQL skills PLUS a range of the following complementary skills:

Experience working with the Hadoop ecosystem (Spark, Hive/Impala, Databricks)
Programming background in Java, Scala, R or Python
Experience of cloud platforms such as Azure, AWS or GCP
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

Other:

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.

Senior Data Engineer (9 month fixed term contract (PAYE)) – Nationwide charity: as the technical Data / BI SME on a business-critical data strategy (embracing SQL BI, Python, Cloud tech, Big Data, Data Science), you will be reporting directly to the Head of IT and working closely with key stakeholders driving forwards adoption of better data integration and modelling through effective data warehousing to support analytics across the organisation.

You will engage a team of developers to deliver an organisation-wide ETL, data import, and master data management approach. This will be done while fostering an entrepreneurial and creative work ethic, and willingness to learn and adapt to emerging or different technologies. This role will support the delivery of appropriate analytics tools for insight leads in teams across the organisation to be able to build reports and dashboards.

Expected experience:

• Leading fast-paced deployment of data solutions in a range of settings
• Expert SQL Data Warehouse Developer with experience delivering enterprise data models, data warehousing and operational data stores, and developing data interfaces for reporting tools such as Power BI.
• Designing extract, transform and load (ETL) processes in a range of technologies e.g. SQL, Oracle Integration Cloud, Microsoft Azure technologies. Deploying data transformations, including data standardisation.
• Exploring Cloud technologies (ideally either Oracle products (Data Integrator, Autonomous Data Warehouse, Analytics Cloud, Cloud Infrastructure Data Catalog) or Microsoft products (Data Factory, Synapse, Data Lake, Power BI, Data Catalog, Knowledge Transfer and other Azure tools)
• Experience of object orientated programming, to enable bulk data manipulation and import procedures (e.g. using Python, R etc).
• Data profiling, data discovery, root cause analysis and cost-benef1 analysis
• Performance monitoring and tuning
• Developing metadata management approaches, data architecture repositories and architecture
modelling.
• Applying data governance and data quality principles to the full data lifecycle, ensuring data is of the right quality to enable effective processes, organisational and customer outcomes.

Data Engineering Consultant: Our Client is looking for an experienced Data Engineering Consultant to join their existing DE practice (target start date – September). Based out of their regional HQ in London, 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 SQL skills PLUS a range of the following complementary skills:

Experience working with the Hadoop ecosystem (Spark, Hive/Impala, Databricks)
Programming background in Java, Scala, R or Python
Experience of cloud platforms such as Azure, AWS or GCP
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

Other:

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.