Data Engineer

Methods Analytics is currently recruiting for a 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 remotely based majority of the time, but being close to Sheffield or Bristol is advantageous.

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 data to do good and solve difficult problems. And ensure that our outputs are transparent, robust and transformative.

We value discussion and debate as part of our approach. We will question assumptions, ambition and process – but do so with respect and humility. We relish difficult problems, and overcome them with innovation, creativity and technical freedom to help us design optimum solutions. Ethics, privacy and quality are at the heart of our work and we will not sacrifice these for outcomes. We treat data with respect and use it only for the right purpose. Our people are positive, dedicated and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers.

Requirements

The 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 that inform decisions for small to large transformation projects and programmes
• Working with other members of the delivery team 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 and design and write and iterate code from prototype to production-ready.
• 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 Senior 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.

• Ensuring that risks associated with deployment are adequately understood and documented.

Ideal Candidates will demonstrate:

• 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 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.

Desirable Skills & Experience:

• Streaming and real-time data
• Exposure to high performing, low latency or large volume data systems (i.e. 1 billion+ records, terabyte size database)
• Have experience with Python
• 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)

• Working within a continuous integration environment with automated builds, deployment and unit testing
• Exposure to iterative/agile development methodologies such as SCRUM

Benefits

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