• Establish and uphold the goals and expectations that support the fulfillment of cultural and business objectives. • Operate with a team-first mindset, committed to ensuring the overall success of the team and organization. • In collaboration with the Part D business team and BI engineers, lead data engineering solutions (design, data movement, orchestration, optimization) for prioritized business requests impacting organizational and enterprise initiatives. • In Databricks: design, build, maintain, and support the data analytics platform, ensuring the platform is optimized for performance and the right tools are being used for the right jobs. • Work collaboratively with teammates to optimally apply data warehouse, cloud, and BI architecture, normalization, and data visualization techniques to deliver solutions. • Create and impact data scale solutions at the QCSA/Enterprise level to meet business needs.

Title: Waste Data Optimisation Officer Location: Australia Job Description: - Enhance waste data accuracy through audits and system improvements! - Contract until 29 October 2027 - $87,550 + 12% Superannuation About the role Take on a role that drives real impact by strengthening how we understand and manage waste services. This opportunity blends hands-on fieldwork with analytical insight, conducting site audits, validating data, and improving the accuracy of critical systems like COMPASS and WasteEdge. You'll play a key role in shaping a single, trusted source of waste data, ensuring records are accurate, aligned, and reliable. Through your attention to detail and problem-solving mindset, you'll help deliver smarter decisions, better services, and stronger outcomes for the community. Why join Team Melbourne? Located on the traditional lands of the Bunurong Boon Wurrung and Wurundjeri Woi-wurrung peoples of the Kulin Nation, Melbourne is globally recognised as one of the most liveable, diverse, and dynamic cities. At the heart of it all is the City of Melbourne - a passionate, purpose-driven organisation where your work truly matters. As part of Team Melbourne, you'll help deliver what's most important to the people who live, work, study, visit and invest in our great city. We're proud champions of diversity, committed to continuous improvement, and driven by a shared vision for a vibrant and sustainable future. This is more than just a role - it's your chance to make a real impact, contribute to something bigger, and shape Melbourne's future alongside a collaborative and forward-thinking team. About you You're a detail-focused and proactive professional who enjoys combining hands-on work with data analysis. With a keen eye for accuracy, you're confident identifying inconsistencies, problem-solving, and maintaining reliable records across systems. You take ownership of your work, stay organised, and bring a practical mindset to improving data quality and supporting better service outcomes. What your experience might look like - Strong ability to analyse data, identify issues, and resolve root causes, with proficiency in spreadsheets, databases or GIS; experience with WasteEdge or similar systems. - Proven experience conducting field-based inspections or audits, including the ability to assess, document and report on physical site conditions accurately and independently. - A high level of initiative and independence, with the ability to prioritise and manage competing workloads across field and desktop activities with limited supervision. - Demonstrated knowledge of waste management principles and practices necessary to support accurate service delivery and data integrity within a municipal context. - A current Victorian Driver Licence. Benefits of working with us - Attractive remuneration & benefits: Excellent pay package with a range of exciting benefits. Flexible working, study assistance & other great corporate discounts. - Excellent leave entitlements: Enjoy up to 20 weeks of fully paid parental leave for primary carers, in addition to the government-funded parental leave, with no waiting period to access. Part-time equivalents are also available for added flexibility. - Career progression: Career development support and opportunities to learn new skills within a creative and exciting environment. - Work-life balance and hybrid working: We support flexible hours, alternative work arrangements (like ADOs), and hybrid work-from-home options. How to apply We'd love to hear how you can make an impact in this role! As part of your application, you will be required to: - Attach your updated resume - Include a cover letter (max one page) outlining your relevant experience and why you're a great fit for this role. Submit your application no later than 11:45pm on Tuesday 02 June 2026. A few important things to note - don't miss out! - Applications must be submitted online. Unfortunately, we can't accept applications via email, so please be sure to apply through the official job link provided. - Apply early! This role may close sooner than the listed closing date if we find the right candidate - so don't wait to get your application in. - We are a child safe organisation. The City of Melbourne has a zero tolerance for child abuse. All employees undergo thorough safety screening, including a Police Check and, for most roles, a Working with Children Check. Need more info? Refer to the position description below or contact Ian Stupin - Project Lead Waste Data Optimisation, Ian.Stupin@melbourne.vic.gov.au Inclusion matters We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people from all cultural and linguistic backgrounds, people with disabilities, LGBTIQA+ individuals, and people of all ages and faith backgrounds. We provide reasonable adjustments throughout the recruitment process to support all applicants. If you require any adjustments, please let us know via the application prompts or inform our Careers team if you're contacted for an interview. Advertisement: PD - Waste Data Optimisation Officer.docx

Role Description Accorded is seeking an experienced data engineer to join our team. The ideal candidate will have a strong background in data engineering, proficiency in SQL, Python, and modern data engineering tools, and an eagerness to learn our business domain. - Build and maintain data transformation pipelines with robust testing to ensure data integrity. - Design, implement, and maintain models with complex domain and business logic for Accorded’s Acumen product. - Collaborate with cross-functional teams (such as our Actuarial Team) to understand data requirements and deliver high-quality solutions. - Participate in code reviews and maintain high standards of code quality. Qualifications - 5+ years of engineering experience with data products. - Strong proficiency in SQL and Python. - Extensive experience in managing data transformation pipelines. - Solid understanding of data modeling, data warehousing, and ETL processes. - Experience with version control systems (e.g., Git). - Strong problem-solving skills and attention to detail. - Excellent communication skills and ability to work in a collaborative environment. Requirements - Experience with dbt (data build tool) is highly preferred. - Experience with tools like BigQuery and Snowflake. - Knowledge of healthcare data and related regulatory requirements (e.g., HIPAA). - Experience with dbt-flux or similar incremental materialization frameworks. Additional Information - While healthcare experience is not strictly required, a willingness and enthusiasm to learn about the healthcare domain is essential. - You will work closely with subject matter experts to understand domain-specific requirements and challenges. - Accorded is located in the San Francisco Bay Area. Remote candidates living and authorized to work in the continental United States are eligible to apply. - Accorded is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment and do not discriminate on the basis of race, color, religion, gender, gender identity, sexual orientation, national origin, genetics, disability, age, or veteran status.

Role Description This is a remote position. We are looking for a Junior/Middle Data Engineer with a strong focus on Python, SQL, and building data pipelines. The main responsibility of this role is connecting to various data sources, extracting data via REST APIs, databases, files, and third-party platforms, processing it, and loading it into a data warehouse for further analytics and BI reporting. We are looking for someone who understands that a data pipeline is not just a script, but a stable process with logging, error handling, retries, monitoring, and data quality checks. Location: Kazakhstan/Remote Qualifications - Strong knowledge of Python and practical experience using it in data engineering tasks. - Experience building data pipelines for loading, processing, and transforming data. - Experience working with various data sources: REST APIs, databases, CSV/Excel/JSON files, cloud storage, and third-party platforms. - Hands-on experience integrating with REST APIs: authentication, pagination, rate limits, retries, timeout handling, and error handling. - Understanding of how to build fault-tolerant pipelines. - Experience setting up incremental data loading and handling partial loads. - Ability to work with JSON and semi-structured data. - Strong SQL knowledge: JOINs, CTEs, aggregates, and window functions. - Experience loading data into databases or data warehouses such as PostgreSQL, BigQuery, Snowflake, Redshift, MS SQL, or similar systems. - Understanding of ETL/ELT approaches. - Experience with logging, monitoring, and basic troubleshooting of pipelines. - Experience working with Git. Requirements - Experience working with dbt: models, sources, tests, documentation, incremental models. - Experience with Spark / PySpark. - Experience using orchestration tools such as Airflow, Prefect, Dagster, or similar. - Experience implementing data quality checks: freshness, duplicates, completeness, consistency. - Experience working with cloud storage: AWS S3, Google Cloud Storage, Azure Blob Storage. - Experience with Docker. - Understanding of dimensional modelling principles: fact/dimension tables, star schema, data marts. - Experience optimizing SQL queries and pipelines. Benefits - A variety of projects: trust us, you won’t be bored. - A sane schedule: we focus on tasks, not hours—but showing up at noon every day isn’t exactly smiled upon. - A team that values expertise and humor: yes, we occasionally crack jokes about SQL—don’t worry if you don’t laugh right away. - Choose your adventure: Dive deep into a single, large-scale project or opt for a “discovery” mode, collaborating with multiple global clients across different domains. You can get hands-on with cutting-edge data stacks for anything from gaming and dating to skyscraper construction and nuclear energy. If variety is what you crave, you’ll find it here.