Haystack
← Back to Jobs
Full time
Technology

Senior Data Engineer

LuxoftSydney, New South Wales🇦🇺AustraliaPosted 4 May 2026

Why This Role Stands Out

This hybrid Senior Data Engineer role at Luxoft offers a fantastic opportunity to build impactful data pipelines in a cutting-edge AWS environment, with strong emphasis on data governance and modern data lakehouse concepts. You'll thrive here if you have robust experience with ETL/ELT, SQL, and cloud data warehousing, and enjoy collaborating in a dynamic tech landscape. This position is perfect for experienced data professionals looking to expand their cloud expertise and contribute to significant data integration projects.

Quick Overview

Work Type
Hybrid
Schedule
Full Time
Level
Mid Senior

Job Description

Project description

Engineer responsible for developing ingestion and transformation pipelines to populate the reconciliation staging area and support downstream integration with FIS Matching.

Responsibilities
  • Strong hands on experience as a Senior Data Engineer in cloud environments, primarily AWS.
  • Solid proficiency with SQL and relational and analytical database platforms.
  • Proven experience designing and building ETL / ELT data pipelines
  • Experience integrating legacy systems with modern SaaS or cloud based platforms
  • Practical experience with cloud data warehouses or lake style platforms (e.g. Snowflake or equivalent)
  • Working knowledge of data lake / lakehouse concepts
  • Experience with job scheduling and pipeline orchestration tools (e.g. Airflow, Step Functions or similar)
  • Experience implementing data security, encryption, privacy controls and governance practices
  • Strong software engineering discipline, including GitHub usage (branching, pull requests, code reviews)
Skills Must have
  • 5+ years of experience.
  • AWS / ETL / Redshift / SnowFlake
  • Iceberg tables & data lakehouse concepts
  • Catalog/schema management
  • Job scheduling / pipeline orchestration tools
  • Data encryption, privacy, governance frameworks
  • GitHub usage (branches, PRs, code review).
  • Knowledge of Kinesis, Aurora, Athena,DMS, DataSync
Nice to have
  • Familiarity with Apache Iceberg or similar modern table formats
  • Exposure to data catalogue and schema management tooling
  • Awareness of AWS data services such as Kinesis, Aurora, Athena, DMS and DataSync
  • Experience working in environments where technology choices are evolving, rather than fixed
  • Broader awareness of modern data platform architectures, even where tools are not used day to day

Skills

SQL
AWS
ETL
Encryption
Snowflake
Airflow
Apache
Redshift

Similar jobs

Apply now