Data Engineer

This is a fantastic opportunity to join a modern, dynamic, and motivated data management and analytics consultancy. Our ambition is to offer both our colleagues and clients alike a positive consulting experience by recruiting, training, and retaining the very best people with strong interests and aptitudes in modern data and cloud technologies and solutions.

As a Data Engineer, you will help our clients create scalable, repeatable, and secure data solutions, by providing strong technical and domain expertise whilst displaying an appetite for systematic problem-solving.

You will have the opportunity to work across several data disciplines, not limited to Cloud, Data Science, Data Management, Data Analytics & Visualisation, and Business Intelligence.

Requirements

Your Core Values include:

• A professional and affable demeanour, with the ability to grow and foster relationships
• A team player who excels at providing support and sharing knowledge but can work autonomously
• Self-motivated with the ability to provide creative and innovative solutions to complex problems
• Excellent stakeholder management, with the ability to influence and guide clients and colleagues
• An excellent verbal and written communicator, with the ability to adapt to the appropriate audience
• Willingness to learn other languages and technologies

We don’t expect you to have exhaustive wide-ranging knowledge as we invest in our employees, supporting them to grow into highly skilled engineers across multiple platforms & languages. As a minimum, we need the following:

• Knowledge of Python
• Project experience delivering Cloud data solutions in AWS, GCP, Azure or Snowflake
• Writing SQL including stored procedures in T-SQL, PL-SQL, or PostgreSQL
• Delivery experience using data disciplines and techniques such as Governance, Architecture, Data Modelling, ETL / ELT, Data Lakes, Data Warehousing, Master Data, and BI

Additionally, any of the following would be great:

• Experience in programming/scripting languages such as Java, JavaScript, R, Scala
• Experience advising on cloud data service suitability and the associated commercial implications
• Project experience delivering, designing, and deploying Cloud Computing SAAS such as Redshift, BigQuery, DataBricks and MongoDB
• Good Knowledge of Big Data technologies including Spark, Hive, or HDFS
• Experience in Real-time Data Streaming such as Confluent, Pega, or Kafka
• Experience with standards such as JSON, XML, YAML, Avro, Parquet
• Knowledge of the engineering delivery cycle including DevOps, CI/CD, Source Code Management, APIs, Kubernetes, Containers, Microservices and Data Pipelines
• Project experience using proven project management methodologies (e.g. Agile, Scrum, Testing), frameworks and best practices.
• Experience implementing optimal and reliable data models and data structures
• Exposure to robotics and automation software such as Blue Prism, Pega and UI Path
• Knowledge of data visualisation tools such as PowerBI, Thoughtspot, Tableau and Qlik Sense
• Knowledge of Data Integration tools such as Informatica, Oracle, Talend, SSIS, StreamSets, DataStage or Ab Initio
• Domain-specific knowledge within Retail Banking, Insurance and Regulatory would be advantageous

Working Patterns:

• Eligible to work in the UK without restrictions
• Although remote working is prevalent, there is potential to work on client site
• Prepared to travel for work purposes

Benefits

• 25 days annual leave a year + bank holidays
• 3 days paid end-of-year shutdown period not deducted from your annual leave allowance
• Option to buy up to 5 days extra leave per year
• Private medical insurance through Vitality with extended optical, dental, and hearing coverage plus access to rewards and discounts
• Enhanced maternity, paternity, adoption, and fertility leave
• Flexible working arrangements
• Life Assurance
• Travel Insurance
• Extensive training opportunities and facilities to support your personal development
• Eligibility for company pension scheme (5% employer contribution, salary sacrifice)
• Bring your own mobile device
• WeCare a Canada Life employee support programme
• Cycle to work scheme