We are Dufrain, a pure-play data consultancy specialising in helping businesses unlock the true value of their data by providing market-leading data solutions and services which includes developing strategies for AI readiness, improving data literacy and culture, enhancing real-time reporting, and managing data from mergers and acquisitions.
At Dufrain we prides ourselves on a creative and innovative approach, focusing on delivering exceptional outcomes for clients by leveraging data to drive growth and efficiency.
Our mission is to inspire, shape and deliver the data capabilities of tomorrow.
We have great opportunities for Senior Data Engineers to play a pivotal role in supporting clients navigate the complexities of data management, analytics, and strategy.
As a Senior Data Engineer you will
- Possess a broad range of data engineering skills, with a focus on having delivered in Microsoft Azure
- Develop good working relationships with clients on a project including interpersonal skills with both business and technical focused colleagues.
- Experience working as a data engineer to develop performant end-to-end solutions in a collaborative team environment.
- Delivering high-quality pieces of work, proven ability to escalate problems to client / senior team members where necessary and propose possible solutions.
- Support building the Consulting practice through contribution to ongoing initiatives. This can include contributing to knowledge-sharing activities, and data services.
- Demonstrated success in delivering commercial projects leveraging the above technologies.
- Experience overseeing junior staff, including mentoring, reviewing work, and ensuring project alignment with organisational goals and standards.
EXPERIENCE REQUIRED
- Strong experience designing and delivering data solutions in Azure Data Factory, Azure Synapse or Fabric.
- Expertise in SQL and Python.
- Experience working with relational SQL databases either on premises or in the cloud.
- Experience delivering multiple solutions using key techniques such as Governance, Architecture, Data Modelling, ETL / ELT, Data Lakes, Data Warehousing, Master Data, and BI.
- A solid understanding of key processes in the engineering delivery cycle including Agile and DevOps, Git, APIs, Containers, Microservices and Data Pipelines.
- Experience working with one or more of Spark, Kafka, or Snowflake
Nice to have certifications
- DP-203 Azure Data Engineering
- Microsoft Certified: Fabric Analytics Engineer Associate
SKILLS REQUIRED
- A high level of drive with the ability to work to tight deadlines.
- Experience of providing insightful solutions
- The ability to participate effectively in meetings with senior stakeholders
- A team player who supports, encourages and shares knowledge with others
- A self-starter with the ability to work under pressure and with limited supervision
- A track record of accurate output and responsibility for elements of project delivery
- The ability to work as part of an integrated team or on an individual basis
- Awareness of industry standards, regulations and developments
Benefits
- Competitive base salary
- Annual Performance related bonus
- Hybrid home/onsite/office working – Edinburgh, Manchester & London
- 25 days annual leave (plus bank and public holidays)
- Birthday day off – celebrate with an extra holiday
- Career progress programme - guaranteed learning and development investment and your own career coach
- Life insurance
- Private medical health insurance
- Contributory pension
- Health and wellbeing group
- And many more.
If you’re passionate about data, and you’re looking to join a leading data and analytics company based in the UK, you could find your dream role at Dufrain.
Please submit your CV highlighting your relevant experience and certifications. Applicants must have the right to work in the UK and not require sponsorship now or in the future. Visa sponsorship is not available.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
