Data Engineer at Axi

, , India -

Full Time

Start Date

Immediate

Expiry Date

03 May, 26

Salary

0.0

Posted On

02 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Databricks, Apache Spark, PySpark, Scala, SQL, Data Warehousing, Schema Design, Data Lake Storage, Synapse Analytics, Data Factory, ETL, Data Modeling, Batch Processing, Data Quality, Relational Databases, NoSQL Databases

Industry

Financial Services

Description

Please note that we will only be able to accept candidates who have the appropriate rights and documentation for employment in India. Who we are. Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. Our business has evolved into a world-class, multifaceted brokerage with offices in six regions. With heavy investment in the latest trading technology, Axi seeks to offer the most comprehensive end-to-end trading experience available, servicing traders of all levels from beginners to institutional-level clients. Let's talk about the cool stuff you do at Axi! As the Data Engineer for the Customer Data Platform, you will play a pivotal role improving Axi’s data capabilities which deliver positive performance impacts on our global trading products. You will sit within our Product Data Team and proactively collaborate with broader business teams across Product, IT, Sales/Marketing and Finance. You will implement data initiatives which buildAxi’s utilisation of our Customer Data Platform to deliver growth strategies that increase the adoption of Axi’s trading products that will generate new trading clients. Your EDGE Assignment/You Will Build and maintain ETL/ELT pipelines on Azure Databricks using PySpark or Scala to ingest, transform, and deliver data products at scale. Ingest data from SQL Server, Cosmos DB, event streams, APIs, and external sources into cloud data lakes and Databricks lakehouses. Design and implement data quality checks, validation rules, and monitoring to ensure reliability and early detection of anomalies. Optimize Spark jobs for performance and cost, including cluster sizing, partitioning strategies, and caching mechanisms. Document data pipelines, lineage, and schemas; maintain data dictionaries and metadata catalogs for consumer discovery and understanding. Collaborate with data analysts, scientists, and domain engineers to understand requirements and refine data products. Contribute to infrastructure and tooling for data workflows (scheduling, orchestration, monitoring, alerting). Technical Requirements Hands-on experience with Azure Databricks and Apache Spark (PySpark or Scala) for large-scale data processing. Strong SQL skills, including complex queries, window functions, CTEs, and query optimization for both transactional and analytical workloads. Experience with SQL Server: data warehousing concepts, schema design, indexing, and optimization for analytics. Familiarity with Azure data services: Data Lake Storage, Synapse Analytics, Data Factory, or Blob Storage. Understanding of ETL/ELT concepts, data modeling, dimensional modeling (fact/dimension tables), and slowly changing dimensions. Experience with batch and/or stream processing concepts; familiarity with event-driven architectures. Knowledge of data quality frameworks, testing strategies, and monitoring/alerting for data pipelines. Basic understanding of relational and NoSQL databases (Cosmos DB exposure is beneficial). Are you the one? 3+ years of experience in data engineering or analytics engineering roles. Strong problem-solving and ability to work independently with guidance from senior engineers. Good communication skills to translate business requirements into technical data solutions. Ability to work in Agile environments and collaborate with global teams across time zones. Axi's bag of delights Competitive and attractive compensation. Extensive learning opportunities, such as professional training and certifications and soft skills development. 18 annual leave days per year. 12 sick days leave per year. Public holidays as declared by local government. Maternity leave as per law. Health Insurance. Axi's interview journey Talent Acquisition Interview (45 minutes) Hiring Manager Exploratory Discussion (30–45 min) Coding/Data Round (60–90 min) Data Design Round (60 min) Cultural Interview (30 minutes) At Axi, we prioritise creating a workplace that upholds fairness and respect for all. We encourage every individual within our community to contribute towards a culture where everyone feels a sense of belonging and is treated with the dignity they deserve. We make all employment-related decisions—whether in hiring, compensation, training, performance reviews, or termination—based on merit and without bias, ensuring equal opportunities for everyone. We consciously work to identify and overcome any unconscious biases, with a commitment to fostering an inclusive environment where every employee and candidate feels genuinely welcomed and valued. Please note that our organization works with recruitment agencies on a pre-approved basis only. A recruitment agency that wishes to submit candidate profiles or resumes for consideration must obtain prior written consent from our talent acquisition team. We do not accept unsolicited resumes from recruitment agencies, and we will not be responsible for any fees related to unsolicited resumes. Should we receive an unsolicited resume from a recruitment agency that does not have prior written consent, we will not be responsible for the payment any fees related to the recruitment of the candidate represented in the unsolicited resume.

Responsibilities

As a Data Engineer for the Customer Data Platform, you will improve Axi’s data capabilities to enhance global trading products. You will collaborate with various business teams to implement data initiatives that drive growth strategies.