RWS

RWS Technology Services is part of the RWS Group, a unique, world-leading provider of technology-enabled language, content, and intellectual property services. Through content transformation and multilingual data analysis, our unique combination of technology and cultural expertise helps our clients to grow by ensuring they are understood anywhere, in any language.

Our purpose is unlocking global understanding. By combining cultural understanding, client understanding and technical understanding, our services and technology assist our clients to acquire and retain customers, deliver engaging user experiences, maintain compliance, and gain actionable insights into their data and content.

We work with over 80% of the world’s top 100 brands, more than three-quarters of Fortune’s 20 ‘Most Admired Companies’ and almost all of the top pharmaceutical companies, investment banks, law firms and patent filers. Our client base spans Europe, Asia Pacific and North and South America. Our 65+ global locations across five continents service clients in the automotive, chemical, financial, legal, medical, pharmaceutical, technology and telecommunications sectors.

Founded in 1958, RWS is headquartered in the UK and publicly listed on AIM, the London Stock Exchange regulated market (RWS.L).

For further information, please visit: RWS

Job Purpose

- Work as a Sr. Data Solution Engineer

Key Responsibilities:

- Data modelling & stores: Designing data schemas, tables and partitioning strategies across SQL and NoSQL databases such as Cosmos DB and Redis
- Performance & cost optimization: Spark tuning, shuffle optimization, caching, cluster sizing, query optimization, debugging long-running jobs and cloud cost control
- Data quality & lineage:



Defining data quality rules and data lineage definitions, and creating monitoring alerts out of them
- Testing for data pipelines: Data validation, regression tests, reconciliation and end-to-end pipeline testing
- ML engineering: Feature store, feature and training pipelines, model deployment and serving, model monitoring with drift detection and retraining (MLflow / MLOps)

Requirements

- Core experience: Minimum 6-8 years of hands-on experience in data processing pipeline and API development, with strong proficiency in Python (PySpark) and Scala a must, GCP is must.
- Big data & distributed systems: Apache Spark, Databricks, Blob Storage, BigQuery and managed Spark (Dataproc) on GCP; processing structured, semi-structured and multi-modal data (text, image, audio, video)
- Lakehouse & table formats: Delta Lake, Apache Iceberg and Apache Hudi
- Pipelines & orchestration: Building batch and streaming ETL/ELT processes over pub/sub platforms (Kafka, Azure Event Hubs, Google Cloud Pub/Sub), orchestrated with Airflow on Kubernetes, in containerized, scalable and serverless architectures
- Infrastructure as Code: Terraform or equivalent
- Observability & reliability: Centralized logging, metrics, tracing, job monitoring, SLAs/SLOs and incident troubleshooting
- AI-assisted development: Hands-on experience using tools such as GitHub Copilot, Claude Code or equivalent for code generation, debugging,



testing and developer productivity
- Nice to have: Past exposure to web analytics solutions (Adobe Analytics & Google Analytics)

Life at RWS - If you like the idea of working with smart people who are passionate about growing the value of ideas, data and content by making sure organizations are understood, then you’ll love life at RWS.

Our purpose is to unlock global understanding. This means our work fundamentally recognizes the value of every language and culture. So, we celebrate difference, we are inclusive and believe that diversity makes us strong. We want every employee to grow as an individual and excel in their career.

In return, we expect all our people to live by the values that unite us: to partner, putting client’s first and winning together, to pioneer, innovating fearlessly and leading with vision and courage, to progress, aiming high and growing through actions and to deliver, owning the outcome and building trust with our colleagues and clients.

RWS embraces DEI and promotes equal opportunity, we are an Equal Chance Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation.

RWS will not tolerate discrimination based on any of these characteristics.

RWS Values

Get the 3Ps right – Partner, Pioneer, Progress – and we´ll Deliver together as RWS.

📌 Data Solutions Engineer (Indore)
🏢 RWS
📍 Indore