Senior Data Analytics Engineer

Company Description

Take a seat on the Xplor rocketship and join us as a Data Engineer to help people succeed across the world.
We’re a global team of builders, listeners and problem-solvers who are relentlessly focused on making life simple, so our customers can get back to growing their business, engaging consumers and doing what they love.

Job Description

As a member of the global data engineering team, reporting to the Data and Analytics Manager, this role has a primary focus on contributing to our enterprise data warehousing and reporting deliverables.
Responsibilities include designing, creating, and maintaining business intelligence assets and reports that drive innovation, client value and business efficiency.

This position will be working across our largest business units and experience with multi-terabyte database systems is required.

Key Responsibilities

The primary tasks, duties, and responsibilities are:

• Maintaining and enhancing reporting and Power BI solutions.
• Producing reporting stored procedures via T-SQL scripting and DAX.
• Data Modelling and Transformation design.
• ELT development.
• Contribute to cloud migration and ensure system uptime for data warehouse products.
• Participate in Agile work planning, testing, and quality assurance.

Qualifications

Technical Skills

• Experienced level knowledge - Business Intelligence/reporting tools including Microsoft SQL, SRSS, SSIS, SSAS, Power BI, Power BI Paginated and DAX.
• Adept at designing and implementing effective data models and Extract, Transform, Load (ETL) processes slowly changing dimensions for transforming and loading data into the data warehouse.
• Understanding of data governance practices, data lineage, and data quality management to ensure accurate, consistent, and reliable data.
• Familiarity with cloud base tooling – Snowflake, And Python/Powershell are advantageous.

Education/Qualifications

• BA/BS degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience.
• Preferred Qualifications include:
  • Expertise in parallel processing warehouses (Snowflake/Redshift),
  • high-frequency differential ETL processes,
  • and Agile development methodology.

Additional Information

Life at Xplor

You’ll be part of a global network of talented colleagues who support your success. We look for commonalities and shared passions and give people the tools they need to deliver great work and grow at speed. 

Some of the perks of working with us: 

• 12 weeks Gender Neutral Paid Parental Leave for both primary and secondary career
• #GiveBackDays/Commitment to social impact – 3 extra days off to volunteer and give back to your local community
• Ongoing dedication to Diversity & Inclusion initiatives such as D&I Council, Global Mentorship Program
• Access to free mental health support
• Flexible working arrangements

The average base salary pay range for this role is between $120,000-$135,000 USD

May be considered for a discretionary bonus 

More about us 

We're the first global platform combining SaaS with embedded payments, and tools to help businesses grow and succeed. We offer software solutions in fast-growing ‘everyday life’ verticals: Education, Fitness & Wellbeing, Field Services and Personal Services – and a global, cloud-based payments processing platform. Xplor Technologies serves over 106,000 customers that processed over $37 billion in payments, operating across 20 markets in 2023.

Good to know

To be considered for employment, you must be legally authorized to work in the location (country) you're applying for. Xplor does not sponsor visas, either at the time of hire or at any later time. 

We kindly ask you to apply through our careers portal or external job boards only. Please don't send your application via email.

To learn more about us and our products, please visit www.xplortechnologies.com/us/careers. 

We also invite you to check out our Candidate FAQs for more information about our recruitment process www.xplortechnologies.com/us/recruitment-faqs.

EEO and Artificial Intelligence

Please note that we do not exclusively rely on artificial intelligence (AI) when making hiring, promotion or any other employment decisions. We don’t have any AI tools in place that are capable of making these kinds of hiring decisions for us.

Xplor is proud to be an Equal Employment Opportunity employer. We're