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. We combine passionate people, sector-specific insight, and technical excellence to provide our customers an end-to-end data service. Using a collaborative, creative, and user-centric approach, we aim to solve difficult problems and ensure 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, overcoming 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. Our people are positive, dedicated, and relentless. We strive for interactions that are engaging, informative, and fun, while maintaining a focus on delivering quality products for our customers. Requirements 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 that inform decisions for small to large transformation projects and programmes. 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 make complex and technical information simple and accessible for non-technical audiences. Creating effective data visualisations appropriate to the audience. Working with the Lead Data Engineer to support 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 to derive meaningful and actionable insights. Understanding how to expose data from systems (e.g., through APIs), link data from multiple systems, 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 and helping to grow the Engineering team. 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 including data structure optimisation through to visualisation and dashboard creation. 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 members' work. Good experience with ETL. Infrastructure, Azure Data Factory / SSIS, SQL (On-prem/Cloud). Good experience with Analytical/Reporting. Understanding of analytical tools; you are numerate. 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 (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. This role will require you to have or be willing to go through Security Clearance. As part of the onboarding process, candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website Gov.UK. 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.
#J-18808-Ljbffr
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. We combine passionate people, sector-specific insight, and technical excellence to provide our customers an end-to-end data service. Using a collaborative, creative, and user-centric approach, we aim to solve difficult problems and ensure 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, overcoming 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. Our people are positive, dedicated, and relentless. We strive for interactions that are engaging, informative, and fun, while maintaining a focus on delivering quality products for our customers. Requirements 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 that inform decisions for small to large transformation projects and programmes. 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 make complex and technical information simple and accessible for non-technical audiences. Creating effective data visualisations appropriate to the audience. Working with the Lead Data Engineer to support 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 to derive meaningful and actionable insights. Understanding how to expose data from systems (e.g., through APIs), link data from multiple systems, 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 and helping to grow the Engineering team. 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 including data structure optimisation through to visualisation and dashboard creation. 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 members' work. Good experience with ETL. Infrastructure, Azure Data Factory / SSIS, SQL (On-prem/Cloud). Good experience with Analytical/Reporting. Understanding of analytical tools; you are numerate. 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 (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. This role will require you to have or be willing to go through Security Clearance. As part of the onboarding process, candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website Gov.UK. 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.
#J-18808-Ljbffr
