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Position Overview We are seeking a highly qualified Senior Data Engineer / Development Lead with deep technical expertise in modern data engineering, multi cloud architecture, and scalable system build. This role requires hands-on development capability, strong architectural thinking, and leadership in delivering enterprise-grade data solutions. Key Responsibilities Lead the design and development of robust data engineering solutions using Python, Microsoft Fabric, Snowflake, and Databricks. Architect and deliver multi-cloud data platforms (preferred: Azure and AWS) with a focus on scalability, security, and performance. Build and optimize ETL/ELT workflows, including support for CDC, CDF, batch, streaming, and near real-time pipelines. Develop, integrate, and maintain REST APIs to support data ingestion, interoperability, and automation. Design and maintain CI/CD pipelines using modern DevOps tools. Provide technical leadership including code reviews, mentorship, architectural guidance, and standard methodologies. Collaborate with multi-functional teams, architects, and leadership to deliver high-quality solutions aligned with business goals. Continually explore emerging data engineering, AI, and cloud technologies to enhance platform capabilities. Required Qualifications (Must-Have) 10+ years of hands-on software development and data engineering experience. Strong expertise in Python for data engineering, automation, and application development. In-depth experience with Microsoft Fabric (Data Factory, Lakehouse, Warehouse, Real-Time). Hands-on Experience In Multi-cloud Environments (Azure And AWS Preferred). Strong proficiency with Snowflake, including Snowpipe, Streams, Tasks, and performance tuning. Deep experience with Databricks (SQL, Python, Delta Lake, Unity Catalog, pipelines/workflows). Proficiency in building and consuming REST APIs. Hands-on expertise with CI/CD pipelines (Azure DevOps, GitHub Actions, GitLab etc.). Experience with containerization and orchestration technologies, including Docker and Kubernetes. Strong SQL and NoSQL database experience. Excellent debugging, performance optimization, and production support skills. Strong interpersonal skills with shown experience leading and mentoring engineering teams. Preferred / Nice-to-Have Skills Exposure to or foundational understanding of AI/ML concepts, feature engineering, or model lifecycle. Experience with data governance and metadata tools (Purview, Unity Catalog, etc.). Knowledge of workflow orchestration platforms (Fabric Data Pipelines, Airflow, ADF). Understanding of data security, encryption standards, RBAC, and cloud compliance. Preferred Education Background Minimum: Bachelors degree or equivalent experience in Engineering or Computer Science. Cloud certifications such as Azure, AWS, GCP, Databricks, or Snowflake are a plus. Soft Skills Strong leadership and team mentoring capabilities. Effective communication and collaborator leadership skills. Ability to thrive in a fast-paced, agile environment. Critical thinking and ability to translate business needs into technical solutions. We're proud to have been recognised as a Great Place to Work in India 25 Career Stage: Manager London Stock Exchange Group (LSEG) Information: Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyones race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.