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Data & AI Engineer / Consultant

Role Overview

We are looking for a Data & AI Engineer / Consultant to design and deliver scalable data platforms, AI-driven solutions, and advanced analytics capabilities. This role combines hands-on engineering expertise with consulting and stakeholder engagement, enabling enterprise clients to accelerate their data & AI transformation journey.

Key Responsibilities

Design, build, and maintain scalable data pipelines and data platforms (batch & real-time)
Develop ETL/ELT workflows for structured and unstructured data processing
Architect and implement modern data platforms (Data Lakes, Lakehouse, Warehouse solutions)
Build and deploy AI/ML models into production environments
Implement MLOps practices including CI/CD, model versioning, and monitoring
Integrate cloud-based data & AI services across enterprise ecosystems
Work with large datasets to enable predictive analytics and automation use cases
Collaborate with stakeholders to translate business requirements into technical solutions
Ensure data quality, governance, security, and compliance standards
Develop dashboards and reports using BI tools (Power BI/Tableau)
Perform performance tuning and optimisation of data pipelines and platforms
Document architecture, designs, and operational procedures

Consulting & Client Engagement

Engage with business and technical stakeholders to define data strategies and solution architecture
Support solution design, pre-sales discussions, and proposal development
Drive best practices across data engineering, AI, and cloud adoption
Communicate complex technical concepts to non-technical stakeholders

Required Skills & Technologies (Must Have)

Strong experience in Python, SQL, PySpark
Hands-on with modern data platforms:
Databricks / Snowflake / Synapse / BigQuery
Experience with cloud platforms: Azure / AWS / GCP
Expertise in ETL tools: ADF, Airflow, dbt, Glue (any)
Knowledge of AI/ML frameworks: Scikit-learn, TensorFlow, PyTorch
Experience with MLOps / CI-CD pipelines
Strong understanding of data modelling, data architecture, and data governance

Good to Have

Experience with Microsoft Fabric / Lakehouse architecture
Exposure to LLMs / Generative AI / RAG pipelines
Knowledge of streaming frameworks (Kafka, Spark Streaming)
Experience in containerisation (Docker, Kubernetes)
Domain experience in Financial Services / Banking / Insurance

Key Outcomes / Impact

Deliver scalable data platforms enabling real-time decision-making
Drive AI-led automation to improve operational efficiency
Enable enterprise-wide data-driven transformation
Improve data quality, observability, and governance maturity

Location : India (Hybrid) / Offshore Delivery with UK/Global Clients
Experience : 5–10+ Years

Full-Time / Contract

Simplex-Services, headquartered in Brighton, formed in 2014, specialises in information technology consulting and the implementation of IT services across all industries.

Our agile, dynamic teams of IT and business strategy enablers allow us to cut across the limitations of large-scale organisations by delivering services and solutions with speed, precision and flexibility. With over 100 years of corporate experience amongst our founding members, we offer our clients immediate advice and tailored solutions to your strategy.

With a fresh approach to IT and practical awareness that any solution needs to be end user-centric and aligned to a strategy, Simplex Services have the capabilities to resolve small- and large- scale projects, whether in-house or through smart source frameworks.

Careers

Data & AI Engineer / Consultant

Role Overview

Key Responsibilities

Consulting & Client Engagement

Required Skills & Technologies (Must Have)

Good to Have

Key Outcomes / Impact

Simplex-Services, headquartered in Brighton, formed in 2014, specialises in information technology consulting and the implementation of IT services across all industries.

Technology Services

Business Services

Company

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Resources