About the role

Senior Data Engineer shaping and delivering advanced data-driven solutions for clients. Leading delivery of tailored solutions in a team focused on data empowerment.

Responsibilities

Build, optimise, and maintain scalable data pipelines that handle high-volume, high-velocity data in complex SaaS environments.
Design efficient, scalable, and flexible data models in multiple technologies to meet business requirements.
Analyse and consolidate business requirements and use cases to meet technical and non-technical debt.
Design tailored and bespoke solutions to address and mitigate challenges faced by our clients.
Make key decisions on build vs buy for data and digital engineering solutions and platforms.
Work closely with the entire business far beyond just product or technology, including driving innovation through concept demonstrators and offerings and support the sales activities, from a pre-sales perspective.
Carry out horizon scanning to identify emerging technology and industry trends and assess their potential impact and opportunity to become Envitia offerings to the market.

Data Engineering Expertise
Proficiency in one or more core data languages and technologies, such as SQL, Scala, Python, R, PySpark, and Elasticsearch.
Proven experience designing, building, and maintaining robust data pipelines using AWS, Azure, and/or open-source frameworks including Spark, Beam, and Airflow.
Hands-on experience with real-time data streaming technologies (e.g., Kafka, Pub/Sub).
Strong background in data quality and validation practices, including defining metrics/KPIs and implementing automated quality controls.
Ability to design, build, and optimise scalable data models that support analytics and machine learning workloads.
Solid working knowledge of AWS data services (e.g., S3, Kinesis, Glue, Redshift, Lambda, EMR) or Azure equivalents (e.g., ADF, Synapse, Fabric, Azure Functions).
Experience working within Data Lakehouse platforms such as Databricks, Snowflake, and/or Microsoft Fabric is an advantage.
Practical understanding of at least one major cloud provider (AWS or Azure).
Strong analytical and problem-solving skills with a keen eye for detail and a drive to deliver business value through data.
Excellent communication skills, with the ability to convey technical concepts to non-technical audiences.
Demonstrated ability to collaborate effectively within distributed or remote teams.
A willingness to mentor and support colleagues in their professional development.
The successful candidate must hold or be required to go through an SC security clearance.

Annual Leave: 25 days plus your birthday off.
Private Healthcare Coverage: Our health plan is tailored to meet the diverse needs of our employees with additional levels for family if required.
Training & Skills Development: Stay ahead in your career with ongoing training opportunities and skill development initiatives tailored to your evolving needs.
Fitness Reimbursement: We encourage an active lifestyle. Our fitness reimbursement program helps you stay fit by covering a portion of your gym memberships or fitness-related expenses.
Life Assurance: Gain peace of mind with extensive life insurance coverage that ensures financial protection for you and your loved ones.
Pension Contribution: Plan for your future with our pension options. We provide resources and support to help you build a secure financial foundation.
Perkbox Subscription: Enjoy exclusive discounts on a variety of products and services. From technology to entertainment, we've partnered with various businesses to bring you special perks.
Flexible Work Arrangements: Achieve a better work-life balance and explore what flexible working arrangements we can provide for you.
Internal Reward Schemes: Be rewarded for your exceptional contributions through our employee recognition initiatives that celebrate your achievements.
Community Engagement & Volunteer Opportunities: Contribute to meaningful causes with company-sponsored volunteer programs, fostering a sense of community and social responsibility.