Senior Data Engineer

4 weeks ago

Sheffield, Sheffield, United Kingdom Methods Business and Digital Technology Full time

About the Role:

We are seeking a highly skilled Data Engineer to join our team at Methods Analytics. As a Senior Data Engineer, you will be responsible for translating data into valuable insights that inform decisions for small to large transformation projects and programmes.

Key Responsibilities:

  • Working with other members of the delivery team across a mix of large and small projects, you will be responsible for identifying and using the most appropriate analytical techniques, developing fit-for-purpose, resilient, scalable and future-proof data services that meet user needs.
  • Communicating effectively across organisational, technical and political boundaries to understand the context and how to make complex and technical information and language simple and accessible for non-technical audiences.
  • Creating effective data visualisation, appropriate to the audience.
  • Working with the Lead Data Engineer to support the growth and development of the team.
  • Aware of, and keep up to date with advances in digital analytics tools and data manipulation products.
  • Collecting, collating, cleansing, synthesising and interpreting data to derive meaningful and actionable insights.
  • Understanding of how to expose data from systems (for example, through APIs), link data from multiple systems and deliver streaming services.
  • Producing data models and understand where to use different types of data models.
  • Provide training, support and mentoring to a team of Data Engineers and helping to grow the Engineering team.
  • Ensuring that risks associated with deployment are adequately understood and documented.

Requirements:

  • Experience of creating PowerBI solutions and dashboards from row level data including data structure optimisation through to visualisation and dashboard creation.
  • Strong T-SQL Development including debugging & troubleshooting.
  • Experience in SQL Server Integration Services (SSIS).
  • Solid Relational Database design skills with an eye for performance optimisation.
  • An ability to translate business requirements into technical specifications.
  • Attention to detail and ability to QA own and other team member's work.
  • Good experience with ETL.
  • Infrastructure, Azure Data Factory / SSIS, SQL (On-prem/Cloud).
  • Good experience with Analytical/Reporting.
  • SQL (On-prem/Cloud), Analysis Services / Tabular Data Model, Power BI/Tableau/T-SQL.
  • Understanding of analytical tools; you are numerate.

Desirable Skills & Experience:

  • Experience with NoSQL type environments, Data Lakes, Lake-Houses (Cassandra, MongoDB or Neptune).
  • Have experience with Python, Scala or Java.
  • Have cloud based experience, preferably with AWS and/or Azure.
  • Knowledge of statistics principles necessary to interpret data and apply models.
  • Exposure to high performing, low latency or large volume data systems (i.e. 1 billion+ records, terabyte size database).
  • Working within a continuous integration environment with automated builds, deployment and unit testing.
  • Exposure to iterative/agile development methodologies such as SCRUM.
  • Experience of working in a consultancy.
  • Knowledge of Healthcare data, specifically NHS Data sources such as HES, SUS PbR.

Benefits:

  • Autonomy to develop and grow your skills and experience.
  • Be part of exciting project work that is making a difference in society.
  • Strong, inspiring, and thought-provoking leadership.
  • A supportive and collaborative environment.

As well as this, we offer:

Development access to LinkedIn Learning, a management development programme and training.

Wellness 24/7 Confidential employee assistance programme.

Social - office parties, pizza Friday and commitment to charitable causes.

Time off 25 days a year.

Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution.

Discretionary Company Bonus based on company and individual performance.

Life Assurance of 4 times base salary.

Private Medical Insurance which is non-contributory (spouse and dependants included).

Worldwide Travel Insurance which is non-contributory (spouse and dependants included).

Benefits Platform offering various retail and leisure discounts

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