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Data Engineer (Automation)
Network IT
- Milton Keynes, England, United Kingdom
- Milton Keynes, England, United Kingdom
Über
(Hybrid
3 Days In-Office Weekly) Salary: £45,000 - £55,000 Network IT are supporting a large, enterprise-scale organisation
as they continue to evolve and modernise their
Data Analytics and Automation Platform ; were looking for an experienced
Data Engineer
to design, build, and optimise secure, automated data pipelines that enable scalable analytics, business intelligence, and data-driven decision-making across multiple business units. This is a highly technical role with strong exposure to
cloud and on-prem data platforms , automation, and emerging AI-driven capabilities, and is
specifically suited to candidates with strong, hands-on data engineering experience , particularly in building, operating, and optimising complex data pipelines, data models, and integration workflows at scale. Role Overview and Responsibilities As a
Data & Automation Engineer , you will be responsible for the end-to-end delivery, operation, and continuous improvement of enterprise data pipelines and analytics platforms. Youll work closely with architects, application managers, and international teams to ensure data solutions are reliable, scalable, and aligned with data governance standards. Key responsibilities include: Designing, developing, and maintaining
automated end-to-end data pipelines
across cloud and on-premise source systems. Delivering reliable
data ingestion, transformation, and delivery
processes using technologies such as
Azure Data Factory, Databricks, SSIS, and SQL . Reducing manual interventions through
automation and standardisation , including data preparation, feature engineering, and training-data pipelines. Preparing
data models and datasets
(DWH / Lakehouse) to support business intelligence, analytics, and operational reporting. Monitoring and supporting live data pipelines, resolving issues in line with
ITIL best practices , and implementing proactive alerting and self-healing mechanisms. Identifying and implementing performance optimisations across data pipelines, queries, and reporting workloads. Supporting
data governance processes , including data archiving, masking, encryption, and versioning, with opportunities to integrate AI-driven automation. Contributing to
CI/CD processes
for data pipelines, ensuring releases are tested, compliant, and deployed with minimal operational impact. Collaborating with cross-functional and
international teams
to support aligned, scalable data operations. Supporting the ongoing evolution and execution of the organisations
data strategy . Essential Skills and Experience To be successful in this role, you will bring: Strong commercial experience delivering
end-to-end data engineering and automation solutions
in complex environments. Advanced
SQL
skills, including performance tuning and optimisation across large datasets. Knowledge of
Python or R
for data processing or analytics. Hands-on experience with
data integration and ingestion tools
such as
Azure Data Factory and Databricks . Proven experience in
data modelling , data warehousing, and relational database platforms (e.g. MS SQL Server). Experience designing
cloud-native and/or on-prem data solutions . Exposure to
automation and AI-enabled data processes , with awareness of LLM use cases within data workflows. Experience working in
Agile delivery environments
(Scrum, Kanban, DevOps). Strong analytical and problem-solving skills, with the ability to translate complex data into meaningful insights. Excellent communication skills and the ability to work effectively with both technical and non-technical stakeholders. Desirable Experience Experience coordinating or supporting
AI / ML initiatives
within data platforms. Experience working within
large, regulated, or international organisations.
TPBN1_UKTJ
Sprachkenntnisse
- English
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