Methods Analytics is currently recruiting for a Senior Data Engineer to join our team on a permanent basis. This role will require flexibility to travel to client sites and is expected to be based in Sheffield or Bristol.
About Methods Analytics:
Methods Analytics exists to improve society by helping people make better decisions with data. Combining passionate people, sector-specific insight and technical excellence to provide our customers an end-to-end data service. We use a collaborative, creative and user-centric approach to data to do good and solve difficult problems. Ethics, privacy, and quality are at the heart of our work.
The Senior Data Engineer will be:
* Working with other members of the delivery team across a mix of large and small projects and be responsible for translating data into valuable insights.
* Identifying and using the most appropriate analytical techniques, developing resilient, scalable, and future-proof data services.
* Communicating effectively across organisational, technical, and political boundaries.
* Creating effective data visualisations appropriate to the audience.
* Supporting the growth and development of the team.
* Keeping up to date with advances in digital analytics tools and data manipulation products.
* Collecting, collating, cleansing, synthesising, and interpreting data.
* Understanding how to expose data from systems (e.g., through APIs) and deliver streaming services.
* Producing data models and understanding where to use different types of data models.
* Providing training, support, and mentoring to a team of Data Engineers.
* Ensuring that risks associated with deployment are adequately understood and documented.
Ideal Candidates will demonstrate:
* Experience of creating PowerBI solutions and dashboards from row-level data.
* Strong T-SQL Development including debugging & troubleshooting.
* Experience in SQL Server Integration Services (SSIS).
* Solid relational database design skills.
* An ability to translate business requirements into technical specifications.
* Attention to detail and ability to QA own and other team members' work.
* Good experience with ETL.
* Infrastructure, Azure Data Factory / SSIS, SQL (On-prem/Cloud).
* Good experience with Analytical/Reporting tools.
* Understanding of analytical tools; you are numerate.
Desirable Skills & Experience:
* Experience with NoSQL environments, Data Lakes, Lake-Houses (Cassandra, MongoDB, or Neptune).
* Experience with Python, Scala, or Java.
* 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.
* 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.
This role will require you to have or be willing to go through Security Clearance. If you are unable to meet this and any associated criteria, then your employment may be delayed or rejected. Details of this will be discussed with you at interview.
Methods Analytics is passionate about its people; we want our colleagues to develop the things they are good at and enjoy.
By joining us you can expect:
* 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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