Data Engineer

at  Methods Business and Digital Technology

Methods Business and Digital Technology Limited
Methods is a £100M+ IT Services Consultancy who has partnered with a range of central government departments and agencies to transform the way the public sector operates in the UK. Established over 30 years ago and UK-based, we apply our skills in transformation, delivery, and collaboration from across the Methods Group, to create end-to-end business and technical solutions that are people-centred, safe, and designed for the future.
Our human touch sets us apart from other consultancies, system integrators and software houses - with people, technology, and data at the heart of who we are, we believe in creating value and sustainability through everything we do for our clients, staff, communities, and the planet.
We support our clients in the success of their projects while working collaboratively to share skill sets and solve problems. At Methods we have fun while working hard; we are not afraid of making mistakes and learning from them.
Predominantly focused on the public-sector, Methods is now building a significant private sector client portfolio.
Methods was acquired by the Alten Group in early 2022.

DESIRABLE SKILLS & EXPERIENCE:

• Streaming and real-time data
• Knowledge of statistics principles necessary to interpret data and apply models. For example, knowledge of errors and confidence intervals to understand whether a relation seen in the data is real.
• Exposure to high performing, low latency or large volume data systems (i.e. 1 billion+ records, terabyte size database)
• Understanding of distributed computing, columnar type databases, partitioning, map reduction
• Big Data Frameworks experience, such as Hadoop and Apache Spark
• Experience with NoSQL type environments, Data Lakes, Lake-Houses (Cassandra, MongoDB or Neptune)

Please refer the Job description for details