The Company
With over 50 years’ experience in the travel market, we have a presence in 36 countries and more than 550 brands in our portfolio. We have the capability to deliver world-class food and beverage outlet programmes based on the highest levels of customer service, quality of food and environment.
Our Mission & Ambition
• To give our customers an experience that exceeds their expectations and that clients know cannot be matched.
• To be recognised as the leading Food & Beverage operator in travel locations worldwide
Our Values
• We are one team
• We are results focused
• We all make a difference
• We are bold
• We celebrate success
We have an in-depth understanding of our diverse customer base; our insights into food and beverage trends mean we have created an extensive range of brands and concepts that we can run in operationally demanding, high-volume travel locations.
SSP are world leaders, but in many ways the Data and Analytics function feels like a start-up, with a twist. There’s the buzz of innovative projects, the thrill of shaping compelling customers experiences, the chance to surprise and stretch yourself in response to a fresh challenge. And then there’s all the resources, technology and high profile projects of a major corporate entity. Crucially, we also offer the benefit of clear career progression.
You will be mentor to 2 junior engineers and will have a passion for sharing skills and nurturing talent.
You will be designing implementing and improving data pipelines as we migrate our SQL 2016 environment into the Azure Cloud. Building out Net New API solutions and digital pipelines.
You will work in conjunction with our Data Systems Analyst and QA as you engineer 21stcentury digital solutions. Beyond just the Power BI Univariate and into the multivariate modelling world.
We are modernising our core systems of record and enabling digital and technology innovation. A key aspect to this journey is the data driven enterprise, with data management, analytics and insight and intelligent solutions as fundamental building blocks. This role will need to develop high quality data, BI and ML/AI solutions primarily with Microsoft Azure data and BI services and Microsoft Power BI.
The Role
Main Duties and Responsibilities
- Factory data flows.
- At least two recent year designing data models for large datasets, including creating dimensional multivariate models as outputs for ingested data.
- Exposure to non relational data storage such as mongo DB type design.
- Experience in SQL Server Integration Services (SSIS).
- Good experience with ETL
- SSIS, SSRS, T-SQL (On-prem/Cloud),
- Experience with NoSQL type environments, Data Lakes, Lake-Houses (Cassandra, MongoDB or Neptune).
- 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. 4 billion+ records, terabyte size database).
- Working within a continuous integration environment with automated builds, deployment and unit testing.
- 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
- Define and champion engineering standards and best practices
- 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.
Skills and Knowledge
Essential
- Python, R or other similar programming languages.
- An interest in machine learning engineering or a desire to skill up.
- Experience using data within an analytics environment from core enterprise solutions including Oracle Simphony, SAP S4, SAP SuccessFactors
Desirable
- Multi International Geo experience.
- An interest in data science and ML.
- Be passionate about food and drink.
Equal Opportunities
Diversity and Inclusion is a priority at SSP. We are an equal opportunities employer committed to engaging all of our people, so they feel valued and motivated; we champion diversity, promote inclusion, and ensure equality. We respect and protect human rights and prevent discrimination; and we positively impact our communities. We encourage and welcome applications from a diverse range of candidates regardless of background, gender, race, religious beliefs, disability, sexual identity and orientation or age.
Senior Data Engineer employer: Ssp Uk
SSP UK is an exceptional employer, offering a dynamic work environment where you can truly make an impact as an Area Manager. With a strong focus on employee development and a culture that values collaboration and innovation, you'll have the opportunity to grow your career while leading a passionate team in the vibrant food service sector across EM & Yorkshire. Enjoy competitive benefits and the unique advantage of working with well-known brands, all while being part of a company that prioritises safety and excellence.
