Senior Data Engineer
Databricks · Snowflake · Fabric. Production lakehouse experience required. Remote, anywhere in our operating regions.
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Careers
Paid to think. Trusted to deliver.
Bytewise is a remote-first Data & AI Technology consultancy where senior practitioners still do the work, freedom and accountability are the same thing, and your career compounds.
Yes, we pay competitively. Yes, we are remote-first. Yes, you'll work with senior, generous colleagues. Yes, the platforms you want to work on are at the center of what we do.
But the reasons that actually matter are the ones below.
01
You will be paid to think, not just to ship
Most consultancies sell hours. Most product companies sell features. Bytewise sells judgment. You will be asked, regularly, what you actually believe — about a platform choice, a data model, a governance approach, an AI use case. The answer will matter.
02
The senior people do the work
No leveraged pyramid. Senior practitioners are in code reviews, client workshops, and the working sessions when the hard problems are being solved. If you join as a senior engineer, you will not be staffed onto problems beneath your level.
03
Remote-first, by conviction
Not a pandemic accommodation. The best practitioner for the work is rarely in the same city as the work. Synchronous time is sacred and reserved for the conversations that genuinely need it.
04
Freedom and accountability are the same thing
You manage your calendar, your location, and your working pattern. You make decisions that would, at most firms, require three layers of approval. In exchange, you own the outcomes of those decisions.
05
Your career compounds here
Progression is tied to what you can actually do, not to a calendar. People who compound their judgment quickly progress quickly. The system is more honest than the alternative — and significantly more rewarding for the right people.
06
The work is varied and consequential
In a year you may touch a legacy-stack migration, a greenfield lakehouse, a regulator-grade governance program, a production ML use case, an AI strategy advisory, and a platform-selection counsel. The clients are organizations whose decisions affect millions.
What we look for
The kind of practitioner we're building Bytewise around.
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Senior judgment
You've shipped production work at scale and you can defend the trade-offs you made.
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Engineering craft
You hold a high bar on what you ship — and have the discipline to keep it.
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Client-grade communication
You can sit in a steering committee and hold your own without needing a translator.
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Platform-neutral instincts
You're loyal to outcomes, not to a single platform or methodology.
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A bias toward writing
Decisions documented, architectures described, design discussions captured.
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Care for the work
Pride in delivery, attention to the client team, and ownership when things go sideways.
The honest part
We are not for everyone.
Not a fit if: you want to specialize in a single platform for your entire career, want 9-to-5 with no client exposure, want to coast, or need close management direction above you. The structure is intentionally flat.
A fit if: you read those bullets and your reaction is "no, none of those — but I want everything that comes with the trade."
You will spend the years you give us doing work you are proud of, with people who are excellent and humane, on problems that matter, for clients who respect what you do — under terms that treat you as an adult, in a firm that is being built with care and for the long horizon.
Compensation & how we operate
Top-quartile total comp. No surveillance.
Cash & bonus
Top-quartile cash compensation calibrated annually, with transparent bands. Profit share linked to firm and individual performance.
Equity / ownership
Senior practitioner equity participation as the firm matures.
Healthcare & family
Appropriate to your geography, with real support for time off and family events.
Defended time off
Generous, taken, defended. Burnout is a delivery failure, not a badge of honor.
Learning budget
Every practitioner controls a learning budget — courses, certifications, conferences, books, allocated time.
Equipment & home office
We pay for the tools to do the work properly. The firm exists to serve the work.
Open roles
We're always interested in talking to the right people.
Whether you see a specific role open or not — if Bytewise sounds like the firm you want to spend the next chapter of your career in, get in touch. Senior practitioners are evaluated continuously.
Solutions Architect — Data & AI
Multi-platform experience, comfortable leading client workshops and architectural reviews. EMEA / Pakistan preferred for time-zone overlap.
ApplySenior ML / MLOps Engineer
Production ML experience, MLOps platform familiarity (MLflow, Databricks, SageMaker, Vertex AI).
ApplyGenAI / LLM Engineer
Production RAG, agents, evaluation. Anthropic Claude, OpenAI, Bedrock, Vertex AI experience.
ApplyData Governance Lead
Enterprise governance program experience. Familiarity with Collibra, Alation, Atlan, Purview, Unity Catalog.
ApplyDon't see your role?
Senior practitioners are always considered. Send us a note about what you've done and what you're looking for.
Get in touchHow to apply
Three things in your application.
01
A short note
Who you are, what you've done, why Bytewise specifically.
02
Your CV
The standard one. Nothing fancy required.
03
One piece of work
Code, an architecture diagram, a published article, a project description — anything that shows how you think.
We read everything. We respond to every serious application within five working days.
Ready to do your best work?
Send us a note. We'd genuinely like to read it.