Company DescriptionTechnology is our how. And people are our why. For over two
decades, we have been harnessing technology to drive meaningful change. By
combining world-class engineering, industry expertise and a people-centric
mindset, we consult and partner with leading brands from various industries to
create dynamic platforms and intelligent digital experiences that drive
innovation and transform businesses. From prototype to real-world impact – be
part of a global shift by doing work that matters.Job DescriptionWork together
with data scientists and analysts to understand the needs for data and create
effective data pipelinesSolution design, implement, and maintain data pipelines
for data ingestion, processing, and transformation using could services and
other technologiesCreate and maintain data solutions IN Azure, using any of the
following: Data Factory, Synapse, Databricks/Spark, Polars/Pandas,
Fabric Implementing data validation and cleansing procedures will ensure the
quality, integrity, and dependability of the data.Improve the scalability,
efficiency, and cost-effectiveness of data pipelines.Monitoring and resolving
data pipeline problems, ensuring consistency and availability of the
data. QualificationsProficient in Python and SQLKnowledge of good data design
principles (concepts such as Kimball and Star Schema), data warehousing concepts
and data modelling.Strong experience with Relational and ideally NoSQL
databases.Strong understanding of ETL/ELT processes.Exposure to data monitoring
and observability tools.Relevant experience with Event-Driven ArchitectureGood
understanding of Agile ways of workingAdditional InformationDiscover some of the
global benefits that empower our people to become the best version of
themselves:Finance: Competitive salary package, share plan, company performance
bonuses, value-based recognition awards, referral bonus; Career Development:
Career coaching, global career opportunities, non-linear career paths, internal
development programmes for management and technical leadership;Learning
Opportunities: Complex projects, rotations, internal tech communities, training,
certifications, coaching, online learning platforms subscriptions, pass-it-on
sessions, workshops, conferences;Work-Life Balance: Hybrid work and flexible
working hours, employee assistance programme;Health: Global internal wellbeing
programme, access to wellbeing apps;Community: Global internal tech communities,
hobby clubs and interest groups, inclusion and diversity programmes, events and
celebrations.At Endava, we’re committed to creating an open, inclusive, and
respectful environment where everyone feels safe, valued, and empowered to be
their best. We welcome applications from people of all backgrounds, experiences,
and perspectives—because we know that inclusive teams help us deliver smarter,
more innovative solutions for our customers. Hiring decisions are based on
merit, skills, qualifications, and potential. If you need adjustments or support
during the recruitment process, please let us know.
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